Web Analytics

See also ebooksgratis.com: no banners, no cookies, totally FREE.

CLASSICISTRANIERI HOME PAGE - YOUTUBE CHANNEL
Privacy Policy Cookie Policy Terms and Conditions
Action potential - Wikipedia, the free encyclopedia

Action potential

From Wikipedia, the free encyclopedia

Figure 1. A. Schematic view of an idealized action potential illustrates its various phases as the action potential passes a point on a cell membrane. B. Actual recordings of action potentials are often distorted compared to the schematic view because of variations in electrophysiological techniques used to make the recording.
Figure 1. A. Schematic view of an idealized action potential illustrates its various phases as the action potential passes a point on a cell membrane. B. Actual recordings of action potentials are often distorted compared to the schematic view because of variations in electrophysiological techniques used to make the recording.

In neurophysiology, an action potential (also known as a nerve impulse or spike) is a pulse-like wave of voltage that travels along several types of cell membranes. The best-understood example is generated on the membrane of the axon of a neuron, but also appears in other types of excitable cells, such as cardiac muscle cells, and even plant cells. The resting voltage across the axonal membrane is typically −70 millivolts (mV), with the inside being more negative than the outside. As an action potential passes through a point, this voltage rises to roughly +40 mV in one millisecond, then returns to −70 mV. The action potential moves rapidly down the axon, with a conduction velocity as high as 100 meters/second (225 miles per hour). Because they are able to transmit information so fast, the flow of action potentials is a very efficient form of data transmission, considering that each neuron the signal passes through can be up to a meter in length.[note 1]

An action potential is provoked on a patch of membrane when the membrane is depolarized sufficiently, i.e., when the voltage of the cell's interior relative to the cell's exterior is raised above a threshold. Such a depolarization opens voltage-sensitive channels, which allows current to flow into the axon, further depolarizing the membrane. This will cause the membrane to "fire", initiating a positive feedback loop that suddenly and rapidly causes the voltage inside the axon to become more positive. After this rapid rise, the membrane voltage is restored to its resting value by a combination of effects: the channels responsible for the initial inward current are inactivated, while the raised voltage opens other voltage-sensitive channels that allow a compensating outward current. Because of the positive feedback, an action potential is all-or-none; there are no partial action potentials. In neurons, a typical action potential lasts for just a few thousandths of a second at any given point along their length. The passage of an action potential can leave the ion channels in a non-equilibrium state, making them more difficult to open, and thus inhibiting another action potential at the same spot: such an axon is said to be refractory.

The principal ions involved in an action potential are sodium and potassium cations; sodium ions enter the cell, and potassium ions leave, restoring equilibrium. Relatively few ions need to cross the membrane for the membrane voltage to change drastically. The ions exchanged during an action potential, therefore, make a negligible change in the interior and exterior ionic concentrations. The few ions that do cross are pumped out again by the continual action of the sodium–potassium pump, which, with other ion transporters, maintains the normal ratio of ion concentrations across the membrane. Calcium cations and chloride anions are involved in a few types of action potentials, such as the cardiac action potential and the action potential in the single-celled alga Acetabularia, respectively.

The action potential "travels" along the axon without fading out because the signal is regenerated at each patch of membrane. This happens because an action potential at one patch raises the voltage at nearby patches, depolarizing them and provoking a new action potential there. In unmyelinated neurons, the patches are adjacent, but in myelinated neurons, the action potential "hops" between distant patches, making the process both faster and more efficient. The axons of neurons generally branch, and an action potential often travels along both forks from a branch point. The action potential stops at the end of these branches, but usually causes the secretion of neurotransmitters at the synapses that are found there. These neurotransmitters bind to receptors on adjacent cells. These receptors are themselves ion channels, although—in contrast to the axonal channels—they are generally opened by the presence of a neurotransmitter, rather than by changes in voltage. The opening of these receptor channels can help to depolarize the membrane of the new cell (an excitatory channel) or work against its depolarization (an inhibitory channel). If these depolarizations are sufficiently strong, they can provoke another action potential in the new cell.

Contents

[edit] Biophysical and cellular context

[edit] Ions and the forces driving their motion

Ions (pink circles) will flow across a membrane from the high concentration to the low concentration, causing a current.  However, this creates a voltage across the membrane that opposes the ions' motion.  When this voltage reaches the equilibrium value, the flow of ions stops.
Ions (pink circles) will flow across a membrane from the high concentration to the low concentration, causing a current. However, this creates a voltage across the membrane that opposes the ions' motion. When this voltage reaches the equilibrium value, the flow of ions stops.

Electrical signals within biological organisms are generally by ions, which may be either positively charged cations or negatively charged anions.[1] The most important cations for the action potential are sodium (Na+) and potassium (K+),[2] which are both monovalent cations that carry a single positive charge. Action potentials can also involve calcium (Ca2+),[3] which is a divalent cation that carries a double positive charge. The chloride anion (Cl) plays a major role in the action potentials of some algae,[4] but plays a negligible role in the action potentials of most animals.[5]

Ions cross the cell membrane under two influences: diffusion and electric fields.[6] Diffusion allows net flow of ions from regions where the ions are highly concentrated into regions of low concentration. Ions also move in response to an electric field. By definition, the integral of the electric field across a patch of membrane equals the voltage Vm across that patch.[note 2] Likewise by definition, the flows of different ions through that patch are the ionic currents at that patch; the total current is the sum of all the individual ionic currents. Using these definitions of voltage and current, such a membrane patch can be modeled by an equivalent electronic circuit.[7] In particular, for each type of ion the patch will have a capacitance C and a conductance g; according to Ohm's law, the current I of each ion type is related to the transmembrane voltage Vm by the equation I = g Vm. For a given set of ionic conductances, there is an equilibrium voltage E at which the total current across the membrane is zero; the natural flow of ions generally causes the membrane voltage Vm to approach E.[8]

The hydrophobic cell membrane prevents charged molecules from easily diffusing through it, permitting a potential difference to exist across the membrane.
The hydrophobic cell membrane prevents charged molecules from easily diffusing through it, permitting a potential difference to exist across the membrane.

[edit] Cell membrane

Because the membrane surrounding cells is nearly impermeable to ions,[9] cells have evolved systems for transporting ions across the membrane. These systems can be divided into two classes: pores ("channels") that allow passive transport of ions, and ion pumps that use adenosine triphosphate for active transport of ions. The ion pumps tend to work continuously, as long as there are ions to be pumped. By contrast, the ion channels open and close in response to signals from their environment. The two classes play complementary roles; the ion pumps generate the differences in ion concentrations across the membrane, which the ion channels exploit to carry out electrical signaling. As an analogy, ion pumps play the role of the battery that allows a radio circuit (the ion channels) to transmit a signal.[10]

Despite the small differences in their radii, ions rarely go through the "wrong" channel.  For example, sodium or calcium ions rarely pass through a potassium channel.
Despite the small differences in their radii,[11] ions rarely go through the "wrong" channel. For example, sodium or calcium ions rarely pass through a potassium channel.

[edit] Ion channels

Main articles: Ion channel and Passive transport

Ion channels are integral membrane proteins through which ions can cross the membrane. Most channels are specific for one ion; whereas that ion passes through relatively quickly, other similar ions pass through very infrequently.[12] For example, although potassium and sodium ions have the same charge and differ only slightly in their radius, potassium channels allow few sodium ions through, and vice versa. The pore through which the ion passes is typically so small that ions must pass through it alone and single-file.[13] Channels are either fully open or fully closed. When the channel is open, ions flow through it by passive transport, i.e., at a rate determined by the membrane voltage Vm and concentration difference across the membrane.[8] The action potential is a manifestation of different ion channels opening and closing at different times.[14]

All-atom figure of the open potassium channel, with the potassium ion shown in purple in the middle.  When the channel is closed, the passage is blocked.
All-atom figure of the open potassium channel, with the potassium ion shown in purple in the middle. When the channel is closed, the passage is blocked.

A channel may have several different states (corresponding to different conformations of the protein), but each such state is either open or closed. In general, closed states correspond either to a contraction of the pore—making it impassable to the ion—or to a separate part of the protein stoppering the pore. For example, the voltage-dependent sodium channel undergoes inactivation, in which a portion of the protein swings into the pore, sealing it.[15] This inactivation shuts off the sodium current and plays a critical role in the action potential.

Ion channels can be classified by how they respond to their environment.[16] For example, the ion channels involved in the action potential are voltage-sensitive channels; they open and close in response to the voltage across the membrane. Ligand-gated channels form another important class; these ion channels open and close in response to the binding of a ligand molecule, such as a neurotransmitter. Still other ion channels—such as those of sensory neurons—open and close in response to other stimuli, such as light, temperature or pressure.

[edit] Ion pumps

The ionic currents of the action potential flow in response to concentration differences of the ions across the cell membrane. These concentration differences are established by ion transporters, which are integral membrane proteins that carry out active transport, i.e., use cellular energy (ATP) to "pump" the ions against their concentration gradient.[17] Such ion pumps take in ions from one side of the membrane (decreasing its concentration there) and release them on the other side (increasing its concentration there). The ion pump most relevant to the action potential is the sodium–potassium pump, which transports three sodium ions out of the cell and two potassium ions in.[18] Consequently, the concentration of potassium ions K+ inside the neuron is roughly 20-fold larger than the outside concentration, whereas the sodium concentration outside is roughly ninefold larger than inside.[19][20] Similarly, other ions have different concentrations inside and outside the neuron, such as calcium, chloride and magnesium.[20]

Ion pumps influence the action potential only by establishing the relative ratio of intracellular and extracellular ion concentrations. The action potential mainly involves the opening and closing of ion channels, not ion pumps. If the ion pumps are turned off by removing their energy source, or by adding an inhibitor such as ouabain, the axon can still fire hundreds of thousands of action potentials before their amplitudes begin to decay significantly.[17] In particular, ion pumps play no significant role in the repolarization of the membrane after an action potential.[2]

[edit] Resting potential

Each type of ion has a reversal potential E—also called its equilibrium voltage or equilibrium potential—at which the net current of that ion across the membrane is zero; the ionic current due to the electric field exactly cancels the current due to the differences in concentration across the membrane. That equilibrium voltage is given by the Nernst equation[21][22]


E = \frac{RT}{nF} \ln{ \left( \frac{\mathrm{outside\ ion\ concentration}}{\mathrm{inside\ ion\ concentration}} \right) }.

The constants in this equation are the charge valence n of the ion (e.g., +1 for K+, +2 for Ca2+ and −1 for Cl), the temperature T (in Kelvins), the molar gas constant R, and the Faraday F, which is the total charge of a mole of electrons. For illustration, at a typical physiological ratio of concentrations, the potassium equilibrium voltage EK is −75 mV, whereas the sodium equilibrium voltage ENa is +55mV. Since these disagree, there is no voltage at which the currents of potassium and sodium ions are both zero.[note 3]

However, there is a voltage Em at which the net current of all ions across the membrane is zero; this voltage is given by the Goldman equation[23][24]


E_{m} = \frac{RT}{F} \ln{ \left( \frac{ P_{\mathrm{K}}[\mathrm{K}^{+}]_\mathrm{out} + P_{\mathrm{Na}}[\mathrm{Na}^{+}]_\mathrm{out} + P_{\mathrm{Cl}^{-}}[\mathrm{Cl}^{-}]_\mathrm{in}}{ P_{\mathrm{K}}[\mathrm{K}^{+}]_\mathrm{in} + P_{\mathrm{Na}}[\mathrm{Na}^{+}]_\mathrm{in} + P_{\mathrm{Cl}}[\mathrm{Cl}^{-}]_\mathrm{out}} \right) }

for the three monovalent ions most important to action potentials: potassium (K+), sodium (Na+), and chloride (Cl). Being an anion, the chloride terms are treated differently than the cation terms; the inside concentration is in the numerator, and the outside concentration is in the denominator, which is reversed from the cation terms. Pi stands for the permeability of the ion type i. If calcium ions are also considered, the formula for the equilibrium voltage becomes more complicated.[25]

The membrane voltage Vm need not equal its equilibrium value Em. However, since Vm can change drastically when only a few ions cross the membrane,[note 4] Vm tracks Em closely, so that the two are effectively equivalent. In a typical action potential, where Vm changes by roughly 100 mV, the ionic concentrations inside the axon change only by roughly 1 part in 10 million;[26] hence, hundreds of thousands of action potentials can be fired before the ion pumps are needed to restore the standard ratio of ionic concentrations.[17]

The equilibrium voltage Em under normal, unstimulated conditions is called the resting potential Vrest, typically −70 mV.[27] (The word "potential" or "potential difference" is sometimes a synonym for voltage.) Under those conditions, the membrane is much more permeable to potassium than to any other ion; thus, consistent with the Goldman equation, the resting potential is close to the potassium equilibrium potential EK.[28][29] In the middle of the action potential, however, the sodium permeability dominates, so that Em is +45 mV, close to the sodium equilibrium voltage ENa.[30][29]

Action potentials arriving at the synapses of the upper right neuron stimulate currents in its dendrites; these currents depolarize the membrane at its axon hillock, provoking an action potential that propagates down the axon to its synaptic knobs, releasing neurotransmitter and stimulating the post-synaptic neuron (lower left).
Action potentials arriving at the synapses of the upper right neuron stimulate currents in its dendrites; these currents depolarize the membrane at its axon hillock, provoking an action potential that propagates down the axon to its synaptic knobs, releasing neurotransmitter and stimulating the post-synaptic neuron (lower left).

[edit] Anatomy of a neuron

Several types of cells support an action potential, such as plant cells, muscle cells, and the specialized cells of the heart (in which occurs the cardiac action potential). However, the main excitable cell is the neuron, which also has the simplest mechanism for the action potential.

Most neurons have numerous branched tendrils called neurites,[31] which are divided into two main types, dendrites and axons. Most neurons have only one axon but numerous dendrites;[32] the beginning of the axon is called the axon hillock.[33] Action potentials almost always begin at the axon hillock, and travel down the axon; it is very rare for an action potential to occur in the dendrites.[31] A typical axon has a few branch points, forming a tree-like shape; the tips of this tree (the axonal termini) are generally called the synaptic knobs. These knobs are usually adjacent to the dendrites of another neuron or, more generally, to another excitable cell; the contact between them is called the synapse.[34]

Structure of a typical neuron
Neuron

In some animals (mostly vertebrates), segments of the axon are sheathed in myelin,[35] which generally increases the conduction velocity at which action potentials travel down the axon.[36] Myelin is composed of Schwann cells that wrap themselves multiple times around the axonal segment, forming a thick fatty layer that prevents ions from entering or escaping the axon. Ions can flow into and out of the axon only at the nodes of Ranvier, which are the gaps between the Schwann cells, the "chinks" in the myelin armor.[35] Therefore, the action potential "hops" from one node of Ranvier to the next (the process of saltatory conduction); it does not move continuously down the axon, as it does in unmyelinated axons.[37]

[edit] Phases

The course of the action potential is determined by two coupled effects.[38] First, voltage-sensitive ion channels open and close in response to changes in the membrane voltage Vm, thus changing the membrane's permeability to those ions.[39] However, by the Goldman equation, changes in the ionic permeabilities causes changes in the equilibrium potential Em, and, thus, the membrane voltage Vm.[24] This two-way interaction between Vm and the ion channels sets up the possibility for positive feedback, which is a key part of the rising phase of the action potential.[40] A complicating factor is that a single ion channel may have multiple internal "gates" that respond to changes in Vm in opposite ways, or at different rates.[41][42] For example, although raising Vm opens most gates in the voltage-sensitive sodium channel, it also closes the channel's "inactivation gate", albeit more slowly.[43] Hence, when Vm is raised suddenly, the sodium channels open initially, but then close due to the slower inactivation.

The course of the action potential can be divided into four parts: the rising phase, the falling phase, the undershoot phase, and the refractory period. The initial membrane permeability to potassium is low, but much higher than that of other ions, making the resting potential close to EK.[28] A sufficiently strong depolarization (increase in Vm) causes the voltage-sensitive sodium channels to open; the increasing permeability to sodium drives Vm closer to the sodium equilibrium voltage ENa≈ +55 mV. The increasing voltage in turn causes even more sodium channels to open, which pushes Vm still further towards ENa. This positive feedback continues until the sodium channels are fully open and Vm is close to ENa.[44] This is the rising phase.[45] At this point, the sodium channels begin to inactivate, lowering the membrane's permeability to sodium and driving Vm back down toward the original resting potential.[43] Meanwhile, the potassium channels open more fully; the increased permeability to potassium likewise helps to drive the membrane voltage back down towards EK, the potassium equilibrium voltage.[46] This is the falling phase.[45] The potassium conductance remains unusually high, causing the membrane voltage to dip below even the resting potential; this is the undershoot phase.[45] Finally, the time during which a subsequent action potential is impossible or difficult to fire is called the refractory period, which may overlap with the other phases.[45]

The voltages and currents of the action potential in all of its phases were modeled accurately by Alan Lloyd Hodgkin and Andrew Huxley in 1952,[42] for which they were awarded the Nobel Prize in Physiology or Medicine in 1963.[47] However, their model considers only two types of voltage-sensitive ion channels, and makes several assumptions about them, e.g., that their internal gates open and close independently of one another. In reality, there are many types of ion channels,[16] and they do not always open and close independently.[48]

[edit] Stimulation and rising phase

A typical action potential begins at the axon hillock[49] with a sufficiently strong depolarization, e.g., a stimulus that increases Vm. This depolarization is often caused by the injection of extra sodium cations into the cell; these cations can come from a wide variety of sources, such as chemical synapses, sensory neurons or pacemaker potentials.

The depolarization opens both the sodium and potassium channels in the membrane, allowing the ions to flow into and out of the axon, respectively. If the depolarization is small (say, increasing Vm from −70 mV to −60 mV), the outward potassium current overwhelms the inward sodium current and the membrane repolarizes back to its normal resting potential around −70 mV.[50] The "failed initiations" shown in Figure 1 illustrate this response. However, if the depolarization is large enough, the inward sodium current increases more than the outward potassium current and a runaway condition (positive feedback) results: the more inward current flows, the more Vm increases, which in turn further increases the inward current.[40] The sharp rise in Vm and sodium permeability correspond to the rising phase of the action potential.[44]

The critical threshold voltage for this runaway condition is usually around −45 mV, but it depends on the recent activity of the axon. A membrane that has just fired an action potential cannot fire another one immediately, since the ion channels have not returned to their usual state. The period during which no new action potential can be fired is called the absolute refractory period.[51] At longer times, after some but not all of the ion channels have recovered, the axon can be stimulated to produce another action potential, but only with a much stronger depolarization, e.g., −30 mV. The period during which action potentials are unusually difficult to provoke is called the relative refractory period.[51]

[edit] Peak and falling phase

The positive feedback of the rising phase slows and comes to a halt as the sodium ion channels become maximally open. At the peak of the action potential, the sodium permeability is maximized and the membrane voltage Vm is nearly equal to the sodium equilibrium voltage ENa. However, the same raised voltage that opened the sodium channels initially also slowly shuts them off, by stoppering their pores; the sodium channels become inactivated.[43] This lowers the membrane's permeability to sodium, driving the membrane voltage back down. At the same time, the raised voltage opens voltage-sensitive potassium channels; the increase in the membrane's potassium permeability drives Vm towards EK. Combined, these changes in sodium and potassium permeability cause Vm to drop quickly, repolarizing the membrane and producing the "falling phase" of the action potential.[46]

[edit] Hyperpolarization ("undershoot")

The raised voltage opened many more potassium channels than usual, and these do not close right away when the membrane returns to its normal resting voltage. The potassium permeability of the membrane is transiently unusually high, driving the membrane voltage Vm even closer to the potassium equilibrium voltage EK. Hence, there is an undershoot, a hyperpolarization in technical language, that persists until the membrane potassium permeability returns to its usual value.[52]

[edit] Refractory period

The opening and closing of the sodium and potassium channels during an action potential may leave some of them in a "refractory" state, in which they are unable to open again until they have recovered.[51] In the absolute refractory period, so many ion channels are refractory that no new action potential can be fired. Significant recovery (de-inactivation) requires that the membrane potential remain hyperpolarized for a certain length of time. In the relative refractory period, enough channels have recovered that an action potential can be provoked, but only with a stimulus much stronger than usual. These refractory periods ensure that the action potential travels in only one direction along the axon.[53]

[edit] Initiation, propagation and termination

A typical action potential is initiated at the axon hillock when the membrane is depolarized sufficiently, i.e., when its voltage is increased sufficiently. As the membrane voltage is increased, both the sodium and potassium ion channels begin to open up, increasing both the inward sodium current and the balancing outward potassium current. For small voltage increases, the potassium current triumphs over the sodium current and the voltage returns to its normal resting value, typically −70 mV.[50] However, if the voltage increases past a critical threshold, typically 15 mV higher than the resting value, the sodium current dominates and a runaway condition results; the cell "fires", producing an action potential.[40] Once started, the action potential propagates down the axon without diminishing;[54] the inwards current of an action potential at one patch of membrane depolarizes nearby membrane patches, sparking another action potential there. In effect, the action potential is created afresh at each patch of membrane; its energy derives from the local differences in ionic concentrations, not from the depolarization that triggered it. The axon may branch along its length, and there the inward current may not quite suffice to trigger a new action potential in one or both of its branches; the action potential may stop.[55] Action potentials that do reach the ends of the axon generally cause the release of a neurotransmitter into the synapse, which may combine with other inputs to provoke a new action potential in the post-synaptic neuron or muscle cell.

[edit] Initiation

Before considering the propagation of action potentials along axons and their termination at the synaptic knobs, it is helpful to consider the methods by which action potentials can be initiated at the axon hillock. The basic requirement is that the membrane voltage at the hillock be raised above the threshold for firing;[44] there are several ways in which this depolarization can occur.

When an action potential arrives at the end of the pre-synaptic axon (yellow), it causes the release of neurotransmitter molecules that open ion channels in the post-synaptic neuron (green).  The combined excitatory and inhibitory postsynaptic potentials of such inputs can begin a new action potential in the post-synaptic neuron.
When an action potential arrives at the end of the pre-synaptic axon (yellow), it causes the release of neurotransmitter molecules that open ion channels in the post-synaptic neuron (green). The combined excitatory and inhibitory postsynaptic potentials of such inputs can begin a new action potential in the post-synaptic neuron.

[edit] Neurotransmission

Main article: Neurotransmission

Action potentials are most commonly initiated by excitatory postsynaptic potentials from a presynaptic neuron.[56] Typically, neurotransmitter molecules are released by the presynaptic neuron bound to receptors on the postsynaptic cell. This binding opens various types of ion channels, changing the local permeability of the cell membrane and thereby altering the membrane potential. If the binding increases the voltage (depolarizes the membrane), the synapse is excitatory; if the binding decreases the voltage (hyperpolarizes the membrane), it is inhibitory. Whether the voltage is decreased or increased, the change propagates passively to nearby regions of the membrane, as described by the cable equation and its refinements; typically, the voltage stimulus decays exponentially with the distance from the synapse and with time from the binding of the neurotransmitter. Some fraction of an excitatory voltage may reach the axon hillock and may (in rare cases) depolarize the membrane enough to provoke a new action potential. More typically, the excitatory potentials from several synapses must work together at nearly the same time to provoke a new action potential. Their joint efforts can be thwarted, however, by the counter-acting inhibitory postsynaptic potentials.

Neurotransmission can also occur through electrical synapses.[57] Due to the direct connection between the excitable cells in such cases, an action potential can well be transmitted directly from one cell to the next. Rectifying channels ensure that action potentials only move in one direction through an electrical synapse.

[edit] Sensory neurons

Main article: Sensory neuron

In sensory neurons, an external signal such as pressure, temperature, light, or sound is coupled with the opening and closing of ion channels, which in turn alter the ionic permeabilities of the membrane and its voltage.[58] These voltage changes can again be excitatory (depolarizing) or inhibitory (hyperpolarizing) and, in some sensory neurons, their combined effects can depolarize the axon hillock enough to provoke action potentials. Examples in humans include the olfactory receptor neuron and Meissner's corpuscle, which are critical for the sense of smell and touch, respectively. However, not all sensory neurons convert their external signals into action potentials; some do not even have an axon![59] Instead, they may convert the signal into the release of a neurotransmitter, or into continuous graded potentials, either of which may stimulate subsequent neuron(s) into firing an action potential. For illustration, in the human ear, hair cells convert the incoming sound into the opening and closing of mechanically gated ion channels, which may cause neurotransmitter molecules to be released. Similarly, in the human retina, the initial photoreceptor cells and the next two layers of cells (bipolar cells and amacrine cells) do not produce action potentials; only the third layer, the ganglion cells, produce action potentials, which then travel up the optic nerve.

[edit] Pacemaker potentials

Main article: Pacemaker potential
In pacemaker potentials, the cell spontaneously depolarizes (straight line with upward slope) until it fires an action potential.
In pacemaker potentials, the cell spontaneously depolarizes (straight line with upward slope) until it fires an action potential.

In the cases of neurotransmission and sensory neurons, action potentials result from an external stimulus. However, some excitable cells require no such stimulus to fire: they spontaneously depolarize their axon hillock and fire action potentials at a regular rate, like an internal clock.[60] The voltage traces of such cells are known as pacemaker potentials.[61] The cardiac pacemaker cells of the sinoatrial node in the heart provide a good example.[62] Although such pacemaker potentials have a natural rhythm, it can be adjusted by external stimuli; for instance, heart rate can be altered by pharmaceuticals as well as signals from the sympathetic and parasympathetic nerves.[63] The external stimuli do not cause the cell's repetitive firing, but merely alter its timing.[61] In some cases, the regulation of frequency can be more complex, leading to patterns of action potentials, such as bursting.

[edit] Propagation

Main article: Conduction velocity

The action potential propagates as a wave along the axon.[64] The currents flowing inwards at a point on the axon during an action potential spread out along the axon, and depolarize the adjacent sections of its membrane. If sufficiently strong, this depolarization provokes a similar action potential at the neighboring membrane patches. This basic mechanism was demonstrated by Alan Lloyd Hodgkin in 1937. After crushing or cooling nerve segments and thus blocking the action potentials, he showed that an action potential arriving on one side of the block could provoke another action potential on the other, provided that the blocked segment was sufficiently short.[65]

Once an action potential has occurred at a patch of membrane, the membrane patch needs time to recover before it can fire again. At the molecular level, this absolute refractory period corresponds to the time required for its ion channels to return to their normal open or closed states.[66] Although it limits the frequency of firing,[67] the absolute refractory period ensures that the action potential moves in only one direction along an axon.[53] The currents flowing in due to an action potential spread out in both directions along the axon.[68] However, only the unfired part of the axon can respond with an action potential; the part that has just fired is unresponsive until the action potential is safely out of range and cannot restimulate that part. In the usual orthodromic conduction, the action potential propagates from the axon hillock towards the synaptic knobs (the axonal termini); propagation in the opposite direction—known as antidromic conduction—is very rare.[69] However, if a laboratory axon is stimulated in its middle, both halves of the axon are "fresh", i.e., unfired; then two action potentials will be generated, one traveling towards the axon hillock and the other traveling towards the synaptic knobs.

In saltatory conduction, an action potential at one node of Ranvier causes inwards currents that depolarize the membrane at the next node, provoking a new action potential there; the action potential "hops" from node to node.
In saltatory conduction, an action potential at one node of Ranvier causes inwards currents that depolarize the membrane at the next node, provoking a new action potential there; the action potential "hops" from node to node.

[edit] Myelin and saltatory conduction

The axons of some neurons are ensheathed in myelin, a fatty (ie, lipid-rich) insulating material that increases the speed and energy efficiency of action potential conduction.[70] Axons are myelinated by specialized cells, Schwann cells and oligodendrocytes, that wrap themselves multiple times around segments of axon.[71] The gaps between these segments are known as the nodes of Ranvier.

Myelin prevents ions from entering or leaving the axon along myelinated segments. Myelination is found mainly in vertebrates, but an analogous system has been discovered in a few invertebrates, such as some species of shrimp.[72] As a general rule, myelination increases the conduction velocity of action potentials and makes them more energy-efficient. However, not all neurons in vertebrates are myelinated. Whether saltatory or not, the mean conduction velocity of an action potential ranges from 1 m/s to over 100 m/s, and generally increases with axonal diameter.[73]

Action potentials cannot propagate through the myelinated segments of the axon, since no ions can flow across the membrane there. Instead, the ionic current from an action potential at one node of Ranvier provokes another action potential at the next node; this "hopping" of the action potential from node to node is known as saltatory conduction. Although the mechanism of saltatory conduction was suggested in 1925 by Ralph Lillie,[74] the first experimental evidence for saltatory conduction came from Ichiji Tasaki[75] and Taiji Takeuchi[76] and from Alan Hodgkin and Robert Stämpfli.[77] By contrast, in unmyelinated axons, the action potential provokes another in the membrane immediately adjacent, and moves continuously down the axon like a wave.

Comparison of the conduction velocities of myelinated and unmyelinated axons in the cat.   The conduction velocity v of myelinated neurons varies roughly linearly with axon diameter d (that is, v ∝ d), whereas the speed of unmyelinated neurons varies roughly as the square root (v ∝√ d).  The red and blue curves are fits of experimental data, whereas the dotted lines are their theoretical extrapolations.
Comparison of the conduction velocities of myelinated and unmyelinated axons in the cat.[78] The conduction velocity v of myelinated neurons varies roughly linearly with axon diameter d (that is, vd),[73] whereas the speed of unmyelinated neurons varies roughly as the square root (v ∝√ d).[79] The red and blue curves are fits of experimental data, whereas the dotted lines are their theoretical extrapolations.

Myelin has two important advantages: fast conduction speed and energy efficiency. For axons larger than a minimum diameter (roughly 1 micron), myelination increases the conduction velocity of an action potential, typically tenfold.[80] Conversely, for a given conduction velocity, myelinated fibers are smaller than their unmyelinated counterparts. For example, action potentials move at roughly the same speed (25 m/s) in a myelinated frog axon and an unmyelinated squid giant axon, but the frog axon has a roughly 30-fold smaller diameter and 100-fold smaller cross-sectional area. Also, since the ionic currents are confined to the nodes of Ranvier, far fewer ions "leak" across the membrane, saving metabolic energy. This saving is a significant selective advantage, since the human nervous system uses approximately 20% of the body's metabolic energy.[80]

The length of axons' myelinated segments is important to the success of saltatory conduction. They should be as long as possible to maximize the speed of conduction, but not so long that the arriving signal is too weak to provoke an action potential at the next node of Ranvier. In nature, myelinated segments are generally long enough for the passively propagated signal to travel for at least two nodes while retaining enough amplitude to fire an action potential at the second or third node. Thus, the safety factor of saltatory conduction is high, allowing transmission to bypass nodes in case of injury. However, action potentials may end prematurely in certain places where the safety factor is low, even in unmyelinated neurons; a common example is the branch point of an axon, where it divides into two axons.[81]

Some diseases degrade myelin and impair saltatory conduction, reducing the conduction velocity of action potentials.[82] The most well-known of these is multiple sclerosis, in which the breakdown of myelin impairs coordinated movement.[83]

[edit] Cable theory

Main article: Cable theory
Figure.1: Cable theory's simplified view of a neuronal fiber. The connected RC circuits correspond to adjacent segments of a passive neurite. The extracellular resistances re (the counterparts of the intracellular resistances ri) are not shown, since they are usually negligibly small; the extracellular medium may be assumed to have the same voltage everywhere.
Figure.1: Cable theory's simplified view of a neuronal fiber. The connected RC circuits correspond to adjacent segments of a passive neurite. The extracellular resistances re (the counterparts of the intracellular resistances ri) are not shown, since they are usually negligibly small; the extracellular medium may be assumed to have the same voltage everywhere.

The flow of currents within an axon can be described quantitatively by cable theory[84] and its elaborations, such as the compartmental model.[85] Cable theory was developed in 1855 by Lord Kelvin to model the transatlantic telegraph cable[86] and was shown to be relevant to neurons by Hodgkin and Rushton in 1946.[87] In simple cable theory, the neuron is treated as an electrically passive, perfectly cylindrical transmission cable, which can be described by a partial differential equation[84]


\tau \frac{\partial V}{\partial t} = \lambda^{2} \frac{\partial^{2} V}{\partial x^{2}} - V

where V(x, t) is the voltage across the membrane at a time t and a position x along the length of the neuron, and where λ and τ are the characteristic length and time scales on which those voltages decay in response to a stimulus. Referring to the circuit diagram above, these scales can be determined from the resistances and capacitances per unit length[88]



\tau =\ r_{m} c_{m}



\lambda = \sqrt \frac{r_m}{r_l}

These time- and length-scales can be used to understand the dependence of the conduction velocity on the diameter of the neuron in unmyelinated fibers. For example, the time-scale τ increases with both the membrane resistance rm and capacitance cm. As the capacitance increases, more charge must be transferred to produce a given transmembrane voltage (by the equation Q=CV); as the resistance increases, less charge is transferred per unit time, making the equilibration slower. Similarly, if the internal resistance per unit length ri is lower in one axon than in another (e.g., because the radius of the former is larger), the spatial decay length λ becomes longer and the conduction velocity of an action potential should increase. If the transmembrane resistance rm is increased, that lowers the average "leakage" current across the membrane, likewise causing λ to become longer, increasing the conduction velocity.

[edit] Termination

[edit] Chemical synapses

Action potentials that reach the synaptic knobs generally cause a neurotransmitter to be released into the synaptic cleft.[89] Neurotransmitters are small molecules that may open ion channels in the postsynaptic cell; most axons have the same neurotransmitter at all of their termini. The arrival of the action potential opens voltage-sensitive calcium channels in the pre-synaptic cell; the influx of calcium causes vesicles filled with neurotransmitter to migrate to the cell's surface and release their contents into the synaptic cleft.[90] This complex process is inhibited by the neurotoxins tetanospasmin and botulinum toxin, which are responsible for tetanus and botulism, respectively.[91]

Electrical synapses between excitable cells allow ions to pass directly from one cell to another, and are much faster than chemical synapses.
Electrical synapses between excitable cells allow ions to pass directly from one cell to another, and are much faster than chemical synapses.

[edit] Electrical synapses

Some synapses dispense with the "middleman" of the neurotransmitter, and connect the presynaptic and postsynaptic cells together.[92] When an action potential reaches such a synapse, the ionic currents flowing into the presynaptic cell can cross the barrier of the two cell membranes and enter the postsynaptic cell through pores known as connexins.[93] Thus, the ionic currents of the presynaptic action potential can directly stimulate the postsynaptic cell. Electrical synapses allow for faster transmission because they do not require the slow diffusion of neurotransmitters across the synaptic cleft. Hence, electrical synapses are used whenever fast response and coordination of timing are crucial, as in escape reflexes, the retina of vertebrates, and the heart.

[edit] Neuromuscular junctions

A special case of a chemical synapse is the neuromuscular junction, in which the axon of a motor neuron terminates on a muscle fiber.[94] In such cases, the released neurotransmitter is acetylcholine, which binds to the acetylcholine receptor, an integral membrane protein in the membrane (the sarcolemma) of the muscle fiber.[95] However, the acetylcholine does not remain bound; rather, it dissociates and is hydrolyzed by the enzyme, acetylcholinesterase, located in the synapse. This enzyme quickly reduces the stimulus to the muscle, which allows the degree and timing of muscular contraction to be regulated delicately. Some poisons inactivate acetylcholinesterase to prevent this control, such as the nerve agents sarin and tabun,[96] and the insecticides diazinon and malathion.[97]

[edit] Other cell types

[edit] Cardiac action potentials

Phases of a cardiac action potential. The sharp rise in voltage ("0") corresponds to the influx of sodium ions, whereas the two decays ("1" and "3", respectively) correspond to the sodium-channel inactivation and the repolarizing eflux of potassium ions. The characteristic plateau ("2") results from the opening of voltage-sensitive calcium channels.
Phases of a cardiac action potential. The sharp rise in voltage ("0") corresponds to the influx of sodium ions, whereas the two decays ("1" and "3", respectively) correspond to the sodium-channel inactivation and the repolarizing eflux of potassium ions. The characteristic plateau ("2") results from the opening of voltage-sensitive calcium channels.

The cardiac action potential differs from the neuronal action potential by having an extended plateau, in which the membrane is held at a high voltage for a few hundred milliseconds prior to being repolarized by the potassium current as usual.[98] This plateau is due to the action of slower calcium channels opening and holding the membrane voltage near their equilibrium potential even after the sodium channels have inactivated.

The cardiac action potential plays an important role in coordinating the contraction of the heart.[98] The cardiac cells of the sinoatrial node provide the pacemaker potential that synchronizes the heart. The action potentials of those cells propagate to and through the atrioventricular node (AV node), which is normally the only conduction pathway between the atria and the ventricles. Action potentials from the AV node travel through the bundle of His and thence to the Purkinje fibers.[note 5] Conversely, anomalies in the cardiac action potential—whether due to a congenital mutation or injury—can lead to human pathologies, especially arrhythmias.[98] Several anti-arrhythmia drugs act on the cardiac action potential, such as quinidine, lidocaine, beta blockers, and verapamil.[99]

[edit] Muscular action potentials

The action potential in a normal skeletal muscle cell is similar to the action potential in neurons.[100] Action potentials result from the depolarization of the cell membrane (the sarcolemma), which opens voltage-sensitive sodium channels; these becomes inactivated and the membrane is repolarized through the outward current of potassium ions. The resting potential prior to the action potential is typically −90mV, somewhat more negative than typical neurons. The muscle action potential lasts roughly 2–4 ms, the absolute refractory period is roughly 1–3 ms, and the conduction velocity along the muscle is roughly 5 m/s. The action potential releases calcium ions that free up the tropomyosin and allow the muscle to contract. Muscle action potentials are provoked by the arrival of a pre-synaptic neuronal action potential at the neuromuscular junction, which is a common target for neurotoxins.[96]

[edit] Plant action potentials

Many plants also exhibit action potentials that travel via their phloem to coordinate activity. The physiology of these ion movements has been studied most in algae such as charophytes.[101] The main difference between plant and animal action potentials is that plants primarily use potassium and calcium currents while animals typically use currents of potassium and sodium. These signals are used by plants to rapidly transmit information from environmental signals such as temperature, light, touch or wounding.[102]

[edit] Taxonomic distribution and evolutionary advantages

Action potentials are found throughout multicellular organisms, including plants, invertebrates such as insects, and vertebrates such as reptiles and mammals.[102] Sponges seem to be the main phylum of multicellular eukaryotes that does not transmit action potentials, although some studies have suggested that these organisms have a form of electrical signaling, too.[103] The resting potential, as well as the size and duration of the action potential, have not varied much with evolution, although the conduction velocity does vary dramatically with axonal diameter and myelination.

Comparison of action potentials (APs) from a representative cross-section of animals[104]
Animal Cell type Resting potential (mV) AP increase (mV) AP duration (ms) Conduction speed (m/s)
Squid (Loligo) Giant axon −60 120 0.75 35
Earthworm (Lumbricus) Median giant fiber −70 100 1.0 30
Cockroach (Periplaneta) Giant fiber −70 80–104 0.4 10
Frog (Rana) sciatic nerve axon −60 to −80 110–130 1.0 7–30
Cat (Felis) Spinal motor neuron −55 to −80 80–110 1–1.5 30–120

Given its conservation throughout evolution, the action potential seems to confer evolutionary advantages. One function of action potentials is rapid, long-range signaling within the organism; the conduction velocity can exceed 110 m/s, which is one-third the speed of sound. No material object could convey a signal that rapidly throughout the body; for comparison, a hormone molecule carried in the bloodstream moves at roughly 8 m/s in large arteries. Part of this function is the tight coordination of mechanical events, such as the contraction of the heart. A second function is the computation associated with its generation. Being an all-or-none signal that does not decay with transmission distance, the action potential has similar advantages to digital electronics. The integration of various dendritic signals at the axon hillock and its thresholding to form a complex train of action potentials is another form of computation, one that has been exploited biologically to form central pattern generators and mimicked in artificial neural networks.

[edit] Experimental methods

See also: Electrophysiology
The giant axons of the European squid (Loligo vulgaris) were crucial for scientists to understand the action potential.
The giant axons of the European squid (Loligo vulgaris) were crucial for scientists to understand the action potential.

The study of action potentials has required the development of new experimental methods. The initial work, prior to 1955, focused on three goals: isolating signals from single neurons or axons, developing fast, sensitive electronics, and shrinking electrodes enough that the voltage inside a single cell could be recorded.

The first problem was solved by studying the giant axons found in the neurons of the squid genus Loligo.[105] These axons are so large in diameter (roughly 1 mm, or 100-fold larger than a typical neuron) that they can be seen with the naked eye, making them easy to extract and manipulate.[106] However, the Loligo axons are not representative of all excitable cells, and numerous other systems with action potentials have been studied.

The second problem was addressed with the crucial development of the voltage clamp,[107] which permitted experimenters to study the ionic currents underlying an action potential in isolation, and eliminated a key source of electronic noise, the current IC associated with the capacitance C of the membrane.[108] Since the current equals C times the rate of change of the transmembrane voltage Vm, the solution was to design a circuit that kept Vm fixed (zero rate of change) regardless of the currents flowing across the membrane. Thus, the current required to keep Vm at a fixed value is a direct reflection of the current flowing through the membrane. Other electronic advances included the use of Faraday cages and electronics with high input impedance, so that the measurement itself did not affect the voltage being measured.[109]

The third problem, that of obtaining electrodes small enough to record voltages within a single axon without perturbing it, was solved in 1949 with the invention of the glass micropipette electrode,[110] which was quickly adopted by other researchers.[111][112] Refinements of this method are able to produce electrode tips that are as fine as 100 Å (10 nm), which also confers high input impedance.[113] Action potentials may also be recorded with small metal electrodes placed just next to a neuron, with neurochips containing EOSFETs, or optically with dyes that are sensitive to Ca2+ or to voltage.[114]

As revealed by a patch clamp electrode, an ion channel has two states: open (high conductance) and closed (low conductance).
As revealed by a patch clamp electrode, an ion channel has two states: open (high conductance) and closed (low conductance).

While glass micropipette electrodes measure the sum of the currents passing through many ion channels, studying the electrical properties of a single ion channel became possible in the 1970s with the development of the patch clamp by Erwin Neher and Bert Sakmann. For this they were awarded the Nobel Prize in Physiology or Medicine in 1991.[115] Patch-clamping verified that ionic channels have discrete states of conductance, such as open, closed and inactivated.

[edit] Neurotoxins

Tetrodotoxin is a lethal toxin from the pufferfish that inhibits the voltage-sensitive sodium channel, halting action potentials.
Tetrodotoxin is a lethal toxin from the pufferfish that inhibits the voltage-sensitive sodium channel, halting action potentials.

Several neurotoxins, both natural and synthetic, are designed to block the action potential. Tetrodotoxin from the pufferfish and saxitoxin from the Gonyaulax (the dinoflagellate genus responsible for "red tides") block action potentials by inhibiting the voltage-sensitive sodium channel;[116] similarly, dendrotoxin from the black mamba snake inhibits the voltage-sensitive potassium channel. Such inhibitors of ion channels serve an important research purpose, by allowing scientists to "turn off" specific channels at will, thus isolating the other channels' contributions; they can also be useful in purifying ion channels by affinity chromatography or in assaying their concentration. However, such inhibitors also make effective neurotoxins, and have been considered for use as chemical weapons. Neurotoxins aimed at the ion channels of insects have been effective insecticides; one example is the synthetic permethrin, which prolongs the activation of the sodium channels involved in action potentials. The ion channels of insects are sufficiently different from their human counterparts that there are few side effects in humans. Many other neurotoxins interfere with the transmission of the action potential's effects at the synapses, especially at the neuromuscular junction.

[edit] History

Image of two Purkinje cells (labeled as A) drawn by Santiago Ramón y Cajal. Large trees of dendrites feed into the soma, from which a single axon emerges and moves generally downwards with a few branch points. The smaller cells labeled B are granule cells.
Image of two Purkinje cells (labeled as A) drawn by Santiago Ramón y Cajal. Large trees of dendrites feed into the soma, from which a single axon emerges and moves generally downwards with a few branch points. The smaller cells labeled B are granule cells.

The role of electricity in the nervous systems of animals was first observed in dissected frogs by Luigi Galvani, who studied it from 1791 to 1797.[117] Galvani's results stimulated Alessandro Volta to develop the Voltaic pile—the earliest known electric battery—with which he studied animal electricity (such as electric eels) and the physiological responses to applied direct-current voltages.[118]

Scientists of the 19th century studied the propagation of electrical signals in whole nerves (i.e., bundles of neurons) and demonstrated that nervous tissue was made up of cells, instead of an interconnected network of tubes (a reticulum).[119] Carlo Matteucci followed up Galvani's studies and demonstrated that cell membranes had a voltage across them and could produce direct current. Matteucci's work inspired the German physiologist, Emil du Bois-Reymond, who discovered the action potential in 1848. The conduction velocity of action potentials was first measured in 1850 by du Bois-Reymond's friend, Hermann von Helmholtz. To establish that nervous tissue was made up of discrete cells, the Spanish physician Santiago Ramón y Cajal and his students used a stain developed by Camillo Golgi to reveal the myriad shapes of neurons, which they rendered painstakingly. For their discoveries, Golgi and Ramón y Cajal were awarded the 1906 Nobel Prize in Physiology.[120] Their work resolved a long-standing controversy in the neuroanatomy of the 19th century; Golgi himself had argued for the network model of the nervous system.

Ribbon diagram of the sodium–potassium pump in its E2-Pi state. The estimated boundaries of the lipid bilayer are shown as blue (intracellular) and red (extracellular) planes.
Ribbon diagram of the sodium–potassium pump in its E2-Pi state. The estimated boundaries of the lipid bilayer are shown as blue (intracellular) and red (extracellular) planes.

The 20th century was a golden era for electrophysiology. In 1902 and again in 1912, Julius Bernstein advanced the hypothesis that the action potential resulted from a change in the permeability of the axonal membrane to ions.[22] Bernstein's hypothesis was confirmed by Ken Cole and Howard Curtis, who showed that membrane conductance increases during an action potential.[121] In 1949, Alan Hodgkin and Bernard Katz refined Bernstein's hypothesis by considering that the axonal membrane might have different permeabilities to different ions; in particular, they demonstrated the crucial role of the sodium permeability for the action potential.[29] This line of research culminated in the five 1952 papers of Hodgkin, Katz and Andrew Huxley, in which they applied the voltage clamp technique to determine the dependence of the axonal membrane's permeabilities to sodium and potassium ions on voltage and time, from which they were able to reconstruct the action potential quantitatively.[42] Hodgkin and Huxley correlated the properties of their mathematical model with discrete ion channels that could exist in several different states, including "open", "closed", and "inactivated". Their hypotheses were confirmed in the mid-1970s and 1980s by Erwin Neher and Bert Sakmann, who developed the technique of patch clamping to examine the conductance states of individual ion channels.[122] In the 21st century, researchers are beginning to understand the structural basis for these conductance states and for the selectivity of channels for their species of ion,[123] through the atomic-resolution crystal structures,[13] fluorescence distance measurements[124] and cryo-electron microscopy studies.[125]

Julius Bernstein was also the first to introduce the Nernst equation for resting potential across the membrane; this was generalized by David E. Goldman to the eponymous Goldman equation in 1943.[24] The sodium–potassium pump was identified in 1957[126] and its properties gradually elucidated,[17][18][127] culminating in the determination of its atomic-resolution structure by X-ray crystallography.[128] The crystal structures of related ionic pumps have also been solved, giving a broader view of how these molecular machines work.[129]

[edit] Quantitative models

Equivalent electrical circuit for the Hodgkin–Huxley model of the action potential. Im and Vm represent the current through, and the voltage across, a small patch of membrane, respectively. The Cm represents the capacitance of the membrane patch, whereas the four g's represent the conductances of four types of ions. The two conductances on the left, for potassium (K) and sodium (Na), are shown with arrows to indicate that they can vary with the applied voltage, corresponding to the voltage-sensitive ion channels. The two conductances on the right help determine the resting membrane potential.
Equivalent electrical circuit for the Hodgkin–Huxley model of the action potential. Im and Vm represent the current through, and the voltage across, a small patch of membrane, respectively. The Cm represents the capacitance of the membrane patch, whereas the four g's represent the conductances of four types of ions. The two conductances on the left, for potassium (K) and sodium (Na), are shown with arrows to indicate that they can vary with the applied voltage, corresponding to the voltage-sensitive ion channels. The two conductances on the right help determine the resting membrane potential.

Mathematical and computational models are essential for understanding the action potential, and offer predictions that may be tested against experimental data, providing a stringent test of a theory. The most important and accurate of these models is the Hodgkin–Huxley model, which describes the action potential by a coupled set of four ordinary differential equations (ODEs).[42] Although the Hodgkin–Huxley model may be a simplification of a realistic nervous membrane, its complexity has inspired several even-more-simplified models,[130] such as the Morris–Lecar model[131] and the FitzHugh–Nagumo model,[132] both of which have only two coupled ODEs. The properties of the Hodgkin–Huxley and FitzHugh–Nagumo models and their relatives, such as the Bonhoeffer–van der Pol model,[133] have been well-studied within mathematics,[134] computation[135] and electronics.[136] More modern research has focused on larger and more integrated systems; by joining action-potential models with models of other parts of the nervous system (such as dendrites and synapses), researches can study neural computation[137] and simple reflexes, such as escape reflexes and others controlled by central pattern generators.[138]

[edit] See also

[edit] Notes

  1. ^ For comparison, ordinary eukaryotic cells are typically 100,000 times smaller than the longest neurons, having a size of roughly 10 μm. The extraordinary length of neurons may be responsible for some diseases specific to them. For example, defects in the long-distance transport system used to shuttle proteins and organelles from the nucleus to the peripheral synapses and back again may lead to their accumulation and aggregation and, eventually, to cell death by apoptosis.
  2. ^ Here, a patch of membrane is defined as a segment of the membrane small enough that the transmembrane voltage does not vary significantly over its surface.
  3. ^ Membrane voltages are defined relative to the exterior of the cell; thus, a potential of −70 mV implies that the interior of the cell is negative relative to the exterior.
  4. ^ This follows from the capacitance equation, Δq = C ΔV, where ΔV is the change in voltage that results from the transfer of a charge Δq to a capacitor. To obtain the given ΔV ≈ 100 mV of an action potential, the charge Δq transferred per area of membrane is small (≈0.1 μC per cm2) because the capacitance C per area of the membrane is likewise small (≈1 μF per cm2; see Bullock, Orkand, and Grinnell, p. 135).
  5. ^ Note that these Purkinje fibers are muscle fibers and not related to the Purkinje cells, which are neurons found in the cerebellum.

[edit] References

  1. ^ Johnston and Wu, p. 9.
  2. ^ a b Bullock, Orkand, and Grinnell, pp. 140–41.
  3. ^ Bullock, Orkand, and Grinnell, pp. 153–54.
  4. ^ Mummert H, Gradmann D (1991). "Action potentials in Acetabularia: measurement and simulation of voltage-gated fluxes". Journal of Membrane Biology 124: 265–73. PMID 1664861. 
  5. ^ Schmidt-Nielsen, p. 483.
  6. ^ Johnston and Wu, pp. 10–13.
  7. ^ Johnston and Wu, pp. 39–51.
    * Finkelstein A, Mauro A (1963). "Equivalent circuits as related to ionic systems". Biophysical Journal 3: 215–37. 
  8. ^ a b Junge, pp. 33–37.
  9. ^ Lieb WR, Stein WD (1986). "Chapter 2. Simple Diffusion across the Membrane Barrier", Transport and Diffusion across Cell Membranes. San Diego: Academic Press, 69–112. ISBN 0-12-664661-9. 
  10. ^ D Purves, GJ Augustine, D Fitzpatrick, WC Hall, A-S LaMantia, JO McNamara, LE White. Neuroscience, 4th Edition, Sunderland, MA: Sinauer Associates. ISBN 978-0-87893-697-7. 
  11. ^ CRC Handbook of Chemistry and Physics, 83rd edition, ISBN 0-8493-0483-0, pp. 12–14 to 12–16.
  12. ^ Eisenman G (1961). "On the elementary atomic origin of equilibrium ionic specificity", Symposium on Membrane Transport and Metabolism. New York: Academic Press, 163–79. 
    * Eisenman G (1965). "Some elementary factors involved in specific ion permeation", Proc. 23rd Int. Congr. Physiol. Sci., Tokyo. Amsterdam: Excerta Med. Found., 489–506. 
    * Diamond JM, Wright EM (1969). "Biological membranes: the physical basis of ion and nonekectrolyte selectivity". Annual Review of Physiology 31: 581–646. doi:10.1146/annurev.ph.31.030169.003053. 
  13. ^ a b Doyle DA, Morais Cabral J, Pfuetzner RA, Kuo A, Gulbis JM, Cohen SL, et al. (1998). "The structure of the potassium channel, molecular basis of K+ conduction and selectivity". Science 280: 69–77. 
    * Zhou Y, Morias-Cabrak JH, Kaufman A, MacKinnon R (2001). "Chemistry of ion coordination and hydration revealed by a K+-Fab complex at 2.0 A resolution". Nature 414: 43–48. 
    * Jiang Y, Lee A, Chen J, Ruta V, Cadene M, Chait BT, MacKinnon R (2003). "X-ray structure of a voltage-dependent K+ channel". Nature 423: 33–41. 
  14. ^ Bullock, Orkand, and Grinnell, p. 132.
  15. ^ Cai SQ, Li W, Sesti F (2007). "Multiple modes of a-type potassium current regulation". Curr. Pharm. Des. 13 (31): 3178–84. doi:10.2174/138161207782341286. PMID 18045167. 
  16. ^ a b Goldin AL (2007). "Neuronal Channels and Receptors", in Waxman SG: Molecular Neurology. Burlington, MA: Elsevier Academic Press, 43–58. ISBN 978-0-12-369509-3. 
  17. ^ a b c d Hodgkin AL, Keynes RD (1955). "Active transport of cations in giant axons from Sepia and Loligo". J. Physiol. 128: 28–60. 
  18. ^ a b Caldwell PC, Hodgkin AL, Keynes RD, Shaw TI (1960). "The effects of injecting energy-rich phosphate compounds on the active transport of ions in the giant axons of Loligo". J. Physiol. 152: 561–90. 
  19. ^ Steinbach HB, Spiegelman S (1943). "The sodium and potassium balance in squid nerve axoplasm". J. Cell. Comp. Physiol. 22: 187–96. doi:10.1002/jcp.1030220209. 
  20. ^ a b Hodgkin AL (1951). "The ionic basis of electrical activity in nerve and muscle". Biol. Rev. 26: 339–409. 
  21. ^ Purves et al., pp. 28–32; Bullock, Orkand, and Grinnell, pp. 133–134; Schmidt-Nielsen, pp. 478–480, 596–597; Junge, pp. 33–35
  22. ^ a b Bernstein J (1902). "Untersuchungen zur Thermodynamik der bioelektrischen Ströme". Pflüger's Arch. Ges. Physiol. 92: 521–562. 
    * Bernstein J (1912). Elektrobiologie. Braunschweig: Vieweg und Sohn. 
  23. ^ Purves et al., pp. 32–33; Bullock, Orkand, and Grinnell, pp. 138–140; Schmidt-Nielsen, pp. 480; Junge, pp. 35–37
  24. ^ a b c Goldman DE (1943). "Potential, impedance and rectification in membranes". J. Gen. Physiol. 27: 37–60. doi:10.1085/jgp.27.1.37. 
  25. ^ Spangler SG (1972). "Expansion of the constant field equation to include both divalent and monovalent ions". Ala J Med Sci 9: 218–23. PMID 5045041. 
  26. ^ Bullock, Orkand, and Grinnell, pp. 135–36.
  27. ^ Purves et al., pp. 33–36; Bullock, Orkand, and Grinnell, p. 131.
  28. ^ a b Purves et al., p. 34; Bullock, Orkand, and Grinnell, p. 134; Schmidt-Nielsen, pp. 478–480.
  29. ^ a b c Hodgkin AL, Katz B (1949). "The effect of sodium ions on the electrical activity of the giant axon of the squid". J. Physiology 108: 37–77. 
  30. ^ Purves et al., p. 37; Bullock, Orkand, and Grinnell, p. 135; Schmidt-Nielsen, pp. 480–481.
  31. ^ a b Bullock, Orkand, and Grinnell, p. 11.
  32. ^ Bullock, Orkand, and Grinnell, p. 14.
  33. ^ Bullock, Orkand, and Grinnell, p. 19, 25.
  34. ^ Bullock, Orkand, and Grinnell, pp. 29–49.
  35. ^ a b Bullock, Orkand, and Grinnell, pp. 58–61.
  36. ^ Bullock, Orkand, and Grinnell, pp. 157–64.
  37. ^ Stevens, pp. 25–31.
  38. ^ Stevens, pp. 127–128.
  39. ^ Purves et al., pp. 61–65.
  40. ^ a b c Purves et al., pp. 48–49; Bullock, Orkand, and Grinnell, pp. 141, 150–151; Schmidt-Nielsen, p. 483; Junge, p. 89; Stevens, p. 127
  41. ^ Purves et al., pp. 64–74; Bullock, Orkand, and Grinnell, pp. 149–150; Junge, pp. 84–85; Stevens, pp. 152–158.
  42. ^ a b c d Hodgkin AL, Huxley AF, Katz B (1952). "Measurements of current-voltage relations in the membrane of the giant axon of Loligo". Journal of Physiology 116: 424–448. PMID 14946713. 
    * Hodgkin AL, Huxley AF (1952). "Currents carried by sodium and potassium ions through the membrane of the giant axon of Loligo". Journal of Physiology 116: 449–472. PMID 14946713. 
    * Hodgkin AL, Huxley AF (1952). "The components of membrane conductance in the giant axon of Loligo". J Physiol 116: 473–496. PMID 14946714. 
    * Hodgkin AL, Huxley AF (1952). "The dual effect of membrane potential on sodium conductance in the giant axon of Loligo". J Physiol 116: 497–506. PMID 14946715. 
    * Hodgkin AL, Huxley AF (1952). "A quantitative description of membrane current and its application to conduction and excitation in nerve". J Physiol 117: 500–544. PMID 12991237. 
  43. ^ a b c Purves et al., pp. 47, 65; Bullock, Orkand, and Grinnell, pp. 147–148; Stevens, p. 128.
  44. ^ a b c Purves et al., pp. 49–50; Bullock, Orkand, and Grinnell, pp. 140–141, 150–151; Schmidt-Nielsen, pp. 480–481, 483–484; Junge, pp. 89–90.
  45. ^ a b c d Purves et al., p. 38.
  46. ^ a b Purves et al., p. 49; Bullock, Orkand, and Grinnell, pp. 147–149, 152; Schmidt-Nielsen, pp. 483–484; Stevens, pp. 126–127.
  47. ^ The Nobel Prize in Physiology or Medicine 1963.
  48. ^ Naundorf B, Wolf F, Volgushev M (Apr 2006). "Unique features of action potential initiation in cortical neurons" (Letter). Nature 440: 1060–1063. doi:doi:10.1038/nature04610. 
  49. ^ Stevens, p. 49.
  50. ^ a b Bullock, Orkand, and Grinnell, pp. 150–151; Junge, pp. 89–90; Schmidt-Nielsen, p. 484.
  51. ^ a b c Purves et al., p. 49; Bullock, Orkand, Grinell, p. 151; Stevens, pp. 19–20; Junge, pp. 4–5.
  52. ^ Purves et al., p. 37; Bullock, Orkand, and Grinnell, p. 152.
  53. ^ a b Purves et al., p. 56.
  54. ^ Schmidt-Nielsen, p. 484.
  55. ^ Bullock, Orkand, and Grinnell, p. 209.
  56. ^ Bullock, Orkand, and Grinnell, pp. 177–240; Schmidt-Nielsen, pp. 490–499; Stevens, pp. 47–68.
  57. ^ Bullock, Orkand, and Grinnell, pp. 178–180; Schmidt-Nielsen, pp. 490–491.
  58. ^ Schmidt-Nielsen, pp. 535–580; Bullock, Orkand, and Grinnell, pp. 49–56, 76–93, 247–255; Stevens, 69–79
  59. ^ Bullock, Orkand, and Grinnell, pp. 53, 122–124.
  60. ^ Junge, pp. 115–132
  61. ^ a b Bullock, Orkand, and Grinnell, pp. 152–153.
  62. ^ Noble D (1960). "Cardiac action and pacemaker potentials based on the Hodgkin-Huxley equations". Nature 188: 495–497. doi:10.1038/188495b0. 
  63. ^ Bullock, Orkand, and Grinnell, pp. 444–445.
  64. ^ Bullock, Orkland, and Grinnell, pp. 160–64.
  65. ^ Hodgkin AL (1937). "Evidence for electrical transmission in nerve, Part I". Journal of Physiology 90: 183–210. 
    * Hodgkin AL (1937). "Evidence for electrical transmission in nerve, Part II". Journal of Physiology 90: 211–32. 
  66. ^ Stevens, pp. 19–20.
  67. ^ Stevens, pp. 21–23.
  68. ^ Bullock, Orkand, and Grinnell, pp. 161–164.
  69. ^ Bullock, Orkand, and Grinnell, p. 509.
  70. ^ Zalc B (2006). "The acquisition of myelin: a success story". Novartis Found. Symp. 276: 15–21; discussion 21–5, 54–7, 275–81. PMID 16805421. 
  71. ^ Simons M, Trotter J (October 2007). "Wrapping it up: the cell biology of myelination". Curr. Opin. Neurobiol. 17 (5): 533–40. doi:10.1016/j.conb.2007.08.003. PMID 17923405. 
  72. ^ Xu K, Terakawa S (August 1999). "Fenestration nodes and the wide submyelinic space form the basis for the unusually fast impulse conduction of shrimp myelinated axons". J. Exp. Biol. 202 (Pt 15): 1979–89. PMID 10395528. 
  73. ^ a b Hursh JB (1939). "Conduction velocity and diameter of nerve fibers". American Journal of Physiology 127: 131–39. 
  74. ^ Lillie RS (1925). "Factors affecting transmission and recovery in passive iron nerve model". J. Gen. Physiol. 7: 473–507. doi:10.1085/jgp.7.4.473.  See also Keynes and Aidley, p. 78.
  75. ^ Tasaki I (1939). "Electro-saltatory transmission of nerve impulse and effect of narcosis upon nerve fiber". Amer. J. Physiol. 127: 211–27. 
  76. ^ Tasaki I, Takeuchi T (1941). "Der am Ranvierschen Knoten entstehende Aktionsstrom und seine Bedeutung für die Erregungsleitung". Pflüger's Arch. ges. Physiol. 244: 696–711. doi:10.1007/BF01755414. 
    * Tasaki I, Takeuchi T (1942). "Weitere Studien über den Aktionsstrom der markhaltigen Nervenfaser und über die elektrosaltatorische Übertragung des nervenimpulses". Pflüger's Arch. ges. Physiol. 245: 764–82. doi:10.1007/BF01755237. 
    * Tasaki I (1959). in J Field, HW Magoun, VC Hall: Handbook of Physiology: Neurophysiology, (sect. 1, vol. 1), Washington, D.C.: American Physiological Society, pp. 75–121. 
  77. ^ Huxley A, Stämpfli R (1949). "Evidence for saltatory conduction in peripheral myelinated nerve-fibers". Journal of Physiology 108: 315–39. 
    * Huxley A, Stämpfli R (1949). "Direct determination of membrane resting potential and action potential in single myelinated nerve fibers". Journal of Physiology 112: 476–95. 
  78. ^ Schmidt-Nielsen, Figure 12.13.
  79. ^ Rushton WAH (1951). "A theory of the effects of fibre size in the medullated nerve". Journal of Physiology 115: 101–22. 
  80. ^ a b Hartline DK, Colman DR (2007). "Rapid conduction and the evolution of giant axons and myelinated fibers". Curr. Biol. 17 (1): R29–R35. doi:10.1016/j.cub.2006.11.042. PMID 17208176. 
  81. ^ Bullock, Orkland, and Grinnell, p. 163.
  82. ^ Miller RH, Mi S (2007). "Dissecting demyelination". Nat. Neurosci. 10 (11): 1351–54. doi:10.1038/nn1995. PMID 17965654. 
  83. ^ Waxman SG (2007). "Multiple Sclerosis as a Neurodegenerative Disease", in Waxman SG: Molecular Neurology. Burlington, MA: Elsevier Academic Press, 333–46. ISBN 978-0-12-369509-3. 
  84. ^ a b Rall W (1989). "Cable Theory for Dendritic Neurons", in C. Koch and I. Segev: Methods in Neuronal Modeling: From Synapses to Networks. Cambridge MA: Bradford Books, MIT Press, pp. 9–62. ISBN 0-262-11133-0. 
  85. ^ Segev I, Fleshman JW, Burke RE (1989). "Compartmental Models of Complex Neurons", in C. Koch and I. Segev: Methods in Neuronal Modeling: From Synapses to Networks. Cambridge MA: Bradford Books, MIT Press, pp. 63–96. ISBN 0-262-11133-0. 
  86. ^ Kelvin WT (1855). "On the theory of the electric telegraph". Proceedings of the Royal Society 7: 382–99. 
  87. ^ Hodgkin AL, Rushton WAH (1946). "The electrical constants of a crustacean nerve fibre". Proceedings of the Royal Society B 133: 444–79. 
  88. ^ Purves et al., pp. 52–53.
  89. ^ Süudhof TC (2008). "Neurotransmitter release". Handb Exp Pharmacol (184): 1–21. doi:10.1007/978-3-540-74805-2_1. PMID 18064409. 
  90. ^ Rusakov DA (August 2006). "Ca2+-dependent mechanisms of presynaptic control at central synapses". Neuroscientist 12 (4): 317–26. doi:10.1177/1073858405284672. PMID 16840708. 
  91. ^ Humeau Y, Doussau F, Grant NJ, Poulain B (May 2000). "How botulinum and tetanus neurotoxins block neurotransmitter release". Biochimie 82 (5): 427–46. doi:10.1016/S0300-9084(00)00216-9. PMID 10865130. 
  92. ^ Zoidl G, Dermietzel R (2002). "On the search for the electrical synapse: a glimpse at the future". Cell Tissue Res. 310 (2): 137–42. doi:10.1007/s00441-002-0632-x. PMID 12397368. 
  93. ^ Brink PR, Cronin K, Ramanan SV (1996). "Gap junctions in excitable cells". J. Bioenerg. Biomembr. 28 (4): 351–8. doi:10.1007/BF02110111. PMID 8844332. 
  94. ^ Hirsch NP (July 2007). "Neuromuscular junction in health and disease". Br J Anaesth 99 (1): 132–8. doi:10.1093/bja/aem144. PMID 17573397. 
  95. ^ Hughes BW, Kusner LL, Kaminski HJ (April 2006). "Molecular architecture of the neuromuscular junction". Muscle Nerve 33 (4): 445–61. doi:10.1002/mus.20440. PMID 16228970. 
  96. ^ a b Newmark J (2007). "Nerve agents". Neurologist 13 (1): 20–32. doi:10.1097/01.nrl.0000252923.04894.53. PMID 17215724. 
  97. ^ Costa LG (2006). "Current issues in organophosphate toxicology". Clin. Chim. Acta 366 (1-2): 1–13. doi:10.1016/j.cca.2005.10.008. PMID 16337171. 
  98. ^ a b c Kléber AG, Rudy Y (April 2004). "Basic mechanisms of cardiac impulse propagation and associated arrhythmias". Physiol. Rev. 84 (2): 431–88. doi:10.1152/physrev.00025.2003. PMID 15044680. 
  99. ^ Tamargo J, Caballero R, Delpón E (January 2004). "Pharmacological approaches in the treatment of atrial fibrillation". Curr. Med. Chem. 11 (1): 13–28. doi:10.2174/0929867043456241. PMID 14754423. 
  100. ^ Ganong W (1991). Review of Medical Physiology, 15th edition, Norwalk CT: Appleton and Lange, pp. 59–60. ISBN 0-8385-8418-7. 
  101. ^ Beilby MJ (2007). "Action potential in charophytes". Int. Rev. Cytol. 257: 43–82. doi:10.1016/S0074-7696(07)57002-6. PMID 17280895. 
  102. ^ a b Fromm J, Lautner S (2007). "Electrical signals and their physiological significance in plants". Plant Cell Environ. 30 (3): 249–257. doi:10.1111/j.1365-3040.2006.01614.x. PMID 17263772. 
  103. ^ Leys SP, Mackie GO, Meech RW (1999). "Impulse conduction in a sponge". J. Exp. Biol. 202 (Pt 9): 1139–50. PMID 10101111. 
  104. ^ Bullock TH, Horridge GA (1965). Structure and Function in the Nervous Systems of Invertebrates. San Francisco: W. H. Freeman. 
  105. ^ Keynes RD (1989). "The role of giant axons in studies of the nerve impulse". BioEssays 10: 90–93. doi:10.1002/bies.950100213. PMID 2541698. 
  106. ^ <ref></ref>Meunier C, Segev I (2002). "Playing the devil's advocate: is the Hodgkin-Huxley model useful?". Trends Neurosci. 25 (11): 558–63. doi:10.1016/S0166-2236(02)02278-6. PMID 12392930. 
  107. ^ Cole KS (1949). "Dynamic electrical characteristics of the squid axon membrane". Arch. Sci. Physiol. 3: 253–8. 
  108. ^ Junge, pp. 63–82.
  109. ^ Kettenmann H, Grantyn R (1992). Practical Electrophysiological Methods. New York: Wiley. ISBN 978-0471562009. 
  110. ^ Ling G, Gerard RW (1949). "The normal membrane potential of frog sartorius fibers". J. Cell. Comp. Physiol. 34: 383–396. PMID 15410483. 
  111. ^ Nastuk WL, Hodgkin AL (1950). "The electrical activity of single muscle fibers". J. Cell. Comp. Physiol. 35: 39–73. doi:10.1002/jcp.1030350105. 
  112. ^ Brock LG, Coombs JS, Eccles JC (1952). "The recording of potentials from motoneurones with an intracellular electrode". J. Physiol. (London) 117: 431–460. 
  113. ^ Snell FM (1969). "Some Electrical Properties of Fine-Tipped Pipette Microelectrodes", in M. Lavallée, OF Schanne, NC Hébert: Glass Microelectrodes. New York: John Wiley and Sons. LCCN 68-9252. 
  114. ^ Ross WN, Salzberg BM, Cohen LB, Davila HV (1974). "A large change in dye absorption during the action potential". Biophysical Journal 14: 983–986. 
    * Grynkiewicz G, Poenie M, Tsien RY (1985). "A new generation of Ca2+ indicators with greatly improved fluorescence properties". J. Biol. Chem. 260: 3440–3450. 
  115. ^ The Nobel Prize in Physiology or Medicine 1991.
  116. ^ Nakamura Y, Nakajima S, Grundfest H (1965). "The ffect of tetrodotoxin on electrogenic components of squid giant axons". J. Gen. Physiol. 48: 985–996. doi:10.1085/jgp.48.6.975. 
    * Ritchie JM, Rogart RB (1977). "The binding of saxitoxin and tetrodotoxin to excitable tissue". Rev. Physiol. Biochem. Pharmacol. 79: 1–50. 
    * Keynes RD, Ritchie JM (1984). "On the binding of labelled saxitoxin to the squid giant axon". Proc. R. Soc. Lond. 239: 393–434. 
  117. ^ Piccolino M (1997). "Luigi Galvani and animal electricity: two centuries after the foundation of electrophysiology". Trends in Neuroscience 20: 443–448. doi:10.1016/S0166-2236(97)01101-6. 
  118. ^ Piccolino M (2000). "The bicentennial of the Voltaic battery (1800–2000): the artificial electric organ". Trends in Neuroscience 23: 147–151. 
  119. ^ Brazier MAB (1961). A History of the Electrical Activity of the Brain. London: Pitman. 
    * McHenry LC (1969). Garrison's History of Neurology. Springfield, IL: Charles C. Thomas. 
    * Swazey J, Worden FG (1975). Paths of Discovery in the Neurosciences. Cambridge, MA: The MIT Press. 
  120. ^ The Nobel Prize in Physiology or Medicine 1906.
  121. ^ Cole KS, Curtis HJ (1939). "Electrical impedance of the squid giant axon during activity". J. Gen. Physiol. 22: 649–670. 
  122. ^ Neher E, Sakmann B (1976). "Single-channel currents recorded from membrane of denervated frog muscle fibres". Nature 260: 779–802. 
    * Hamill OP, Marty A, Neher E, Sakmann B, Sigworth FJ (1981). "Improved patch-clamp techniques for high-resolution current recording from cells and cell-free membrane patches". Pflugers Arch. 391: 85–100. doi:10.1007/BF00656997. 
    * Neher E, Sakmann B (1992). "The patch clamp technique". Scientific American 266: 44–51. 
  123. ^ Yellen G (2002). "The voltage-gated potassium channels and their relatives". Nature 419: 35–42. doi:10.1038/nature00978. 
  124. ^ Cha A, Snyder GE, Selvin PR, Bezanilla F (1999). "Atomic-scale movement of the voltage-sensing region in a potassium channel measured via spectroscopy". Nature 402: 809–813. 
    * Glauner KS, Mannuzzu LM, Gandhi CS, Isacoff E (1999). "Spectroscopic mapping of voltage sensor movement in the Shaker potassium channel". Nature 402: 813–817. 
    * Bezanilla F (2000). "The voltage sensor in voltage-dependent ion channels". Physiol. Rev. 80: 555–592. 
  125. ^ Catterall WA (2001). "A 3D view of sodium channels". Nature 409: 988–999. doi:10.1038/35059188. 
    * Sato C, Ueno Y, Asai K, Takahashi K, Sato M, Engel A, et al. (2001). "The voltage-sensitive sodium channel is a bell-shaped molecule with several cavities". Nature 409: 1047–1051. doi:10.1038/35059098. 
  126. ^ Skou J (1957). "The influence of some cations on an adenosine triphosphatase from peripheral nerves.". Biochim Biophys Acta 23 (2): 394–401. doi:10.1016/0006-3002(57)90343-8. PMID 13412736. 
    * The Nobel Prize in Chemistry 1997. Nobelprize.org. Retrieved on 2007-04-21.
  127. ^ Caldwell PC, Keynes RD (1957). "The utilization of phosphate bond energy for sodium extrusion from giant axons". J. Physiol. (London) 137: 12–13P. 
  128. ^ Morth JP, Pedersen PB, Toustrup-Jensen MS, Soerensen TLM, Petersen J, Andersen JP, Vilsen B, Nissen P (2007). "Crystal structure of the sodium–potassium pump". Nature 450: 1043–1049. doi:10.1038/nature06419. 
  129. ^ Lee AG, East JM (2001). "What the structure of a calcium pump tells us about its mechanism". Biochemical Journal 356: 665–683. doi:10.1042/0264-6021:3560665. PMID 11389676. 
  130. ^ Hoppensteadt FC (1986). An introduction to the mathematics of neurons. Cambridge: Cambridge University Press. ISBN 0-521-31574-3. 
    * FitzHugh R (1960). "Thresholds and plateaus in the Hodgkin-Huxley nerve equations". J. Gen. Physiol. 43: 867–896. doi:10.1085/jgp.43.5.867. 
    * Kepler TB, Abbott LF (1992). "Reduction of conductance-based neuron models". Biological Cybernetics 66: 381–387. doi:10.1007/BF00197717. 
  131. ^ Morris C, Lecar H (1981). "Voltage oscillations in the barnacle giant muscle fiber". Biophysical Journal 35: 193–213. 
  132. ^ FitzHugh R (1961). "Impulses and physiological states in theoretical models of nerve membrane". Biophysical Journal 1: 445–466. 
    * Nagumo J, Arimoto S, Yoshizawa S (1962). "An active pulse transmission line simulating nerve axon". Proceedings of the IRE 50: 2061–2070. doi:10.1109/JRPROC.1962.288235. 
  133. ^ Bonhoeffer KF (1948). "Activation of Passive Iron as a Model for the Excitation of Nerve". J. Gen. Physiol. 32: 69–91. doi:10.1085/jgp.32.1.69. 
    * Bonhoeffer KF (1953). "Modelle der Nervenerregung". Naturwissenschaften 40: 301–311. doi:10.1007/BF00632438. 
    * van der Pol B (1926). "On relaxation-oscillations". Philosophical Magazine 2: 978–992. 
    * van der Pol B, van der Mark J (1928). "The heartbeat considered as a relaxation oscillation, and an electrical model of the heart". Philosophical Magazine 6: 763–775. 
    * van der Pol B, van der Mark J (1929). "The heartbeat considered as a relaxation oscillation, and an electrical model of the heart". Arch. Neerl. Physiol. 14: 418–443. 
  134. ^ Sato S, Fukai H, Nomura T, Doi S (2005). "Bifurcation Analysis of the Hodgkin-Huxley Equations", in Reeke GN, Poznanski RR, Lindsay KA, Rosenberg JR, Sporns O: Modeling in the Neurosciences: From Biological Systems to Neuromimetic Robotics, 2nd edition, Boca Raton: CRC Press, pp. 459–478. ISBN 978-0415328685. 
    * Evans JW (1972). "Nerve axon equations. I. Linear approximations". Indiana U. Math. Journal 21: 877–885. 
    * Evans JW, Feroe J (1977). "Local stability theory of the nerve impulse". Math. Biosci. 37: 23–50. doi:10.1016/0025-5564(77)90076-1. 
    * FitzHugh R (1969). "Mathematical models of axcitation and propagation in nerve", in HP Schwann: Biological Engineering. New York: McGraw-Hill, pp. 1–85. 
    * Guckenheimer J, Holmes P (1986). Nonlinear Oscillations, Dynamical Systems and Bifurcations of Vector Fields, 2nd printing, revised and corrected, New York: Springer Verlag, pp. 12–16. ISBN 0-387-90819-6. 
  135. ^ Nelson ME, Rinzel J (1994). "The Hodgkin-Huxley Model", in Bower J, Beeman D: The Book of GENESIS: Exploring Realistic Neural Models with the GEneral NEural SImulation System. New York: Springer Verlag, pp. 29–49. 
    * Rinzel J, Ermentrout GB (1989). "Analysis of Neural Excitability and Oscillations", in C. Koch, I Segev: Methods in Neuronal Modeling: From Synapses to Networks. Cambridge, MA: Bradford Book, The MIT Press, pp. 135–169. ISBN 0-262-11133-0. 
  136. ^ Keener JP (1983). "Analogue circuitry for the van der Pol and FitzHugh-Nagumo equations". IEEE Trans. on Systems, Man and Cybernetics 13: 1010–1014. 
  137. ^ McCulloch WS (1988). Embodiments of Mind. Cambridge MA: The MIT Press, pp. 19–39, 46–66, 72–141. ISBN 0-262-63114-8. 
    * Neurocomputing:Foundations of Research. Cambridge, MA: The MIT Press, 15–41. ISBN 0-262-01097-6. 
  138. ^ Getting PA (1989). "Reconstruction of Small Neural Networks", in C Koch and I Segev: Methods in Neuronal Modeling: From Synapses to Networks. Cambridge, MA: Bradford Book, The MIT Press, pp. 171–194. ISBN 0-262-11133-0. 
    * Hooper, Scott L. "Central Pattern Generators." Embryonic ELS (1999) http://www.els.net/elsonline/figpage/I0000206.html (2 of 2) [2/6/2001 11:42:28 AM] Online: Accessed 27 November 2007 [1]

[edit] Bibliography

[edit] External links

Animations
Lecture notes and other materials

Static Wikipedia (no images)

aa - ab - af - ak - als - am - an - ang - ar - arc - as - ast - av - ay - az - ba - bar - bat_smg - bcl - be - be_x_old - bg - bh - bi - bm - bn - bo - bpy - br - bs - bug - bxr - ca - cbk_zam - cdo - ce - ceb - ch - cho - chr - chy - co - cr - crh - cs - csb - cu - cv - cy - da - de - diq - dsb - dv - dz - ee - el - eml - en - eo - es - et - eu - ext - fa - ff - fi - fiu_vro - fj - fo - fr - frp - fur - fy - ga - gan - gd - gl - glk - gn - got - gu - gv - ha - hak - haw - he - hi - hif - ho - hr - hsb - ht - hu - hy - hz - ia - id - ie - ig - ii - ik - ilo - io - is - it - iu - ja - jbo - jv - ka - kaa - kab - kg - ki - kj - kk - kl - km - kn - ko - kr - ks - ksh - ku - kv - kw - ky - la - lad - lb - lbe - lg - li - lij - lmo - ln - lo - lt - lv - map_bms - mdf - mg - mh - mi - mk - ml - mn - mo - mr - mt - mus - my - myv - mzn - na - nah - nap - nds - nds_nl - ne - new - ng - nl - nn - no - nov - nrm - nv - ny - oc - om - or - os - pa - pag - pam - pap - pdc - pi - pih - pl - pms - ps - pt - qu - quality - rm - rmy - rn - ro - roa_rup - roa_tara - ru - rw - sa - sah - sc - scn - sco - sd - se - sg - sh - si - simple - sk - sl - sm - sn - so - sr - srn - ss - st - stq - su - sv - sw - szl - ta - te - tet - tg - th - ti - tk - tl - tlh - tn - to - tpi - tr - ts - tt - tum - tw - ty - udm - ug - uk - ur - uz - ve - vec - vi - vls - vo - wa - war - wo - wuu - xal - xh - yi - yo - za - zea - zh - zh_classical - zh_min_nan - zh_yue - zu -

Static Wikipedia 2007 (no images)

aa - ab - af - ak - als - am - an - ang - ar - arc - as - ast - av - ay - az - ba - bar - bat_smg - bcl - be - be_x_old - bg - bh - bi - bm - bn - bo - bpy - br - bs - bug - bxr - ca - cbk_zam - cdo - ce - ceb - ch - cho - chr - chy - co - cr - crh - cs - csb - cu - cv - cy - da - de - diq - dsb - dv - dz - ee - el - eml - en - eo - es - et - eu - ext - fa - ff - fi - fiu_vro - fj - fo - fr - frp - fur - fy - ga - gan - gd - gl - glk - gn - got - gu - gv - ha - hak - haw - he - hi - hif - ho - hr - hsb - ht - hu - hy - hz - ia - id - ie - ig - ii - ik - ilo - io - is - it - iu - ja - jbo - jv - ka - kaa - kab - kg - ki - kj - kk - kl - km - kn - ko - kr - ks - ksh - ku - kv - kw - ky - la - lad - lb - lbe - lg - li - lij - lmo - ln - lo - lt - lv - map_bms - mdf - mg - mh - mi - mk - ml - mn - mo - mr - mt - mus - my - myv - mzn - na - nah - nap - nds - nds_nl - ne - new - ng - nl - nn - no - nov - nrm - nv - ny - oc - om - or - os - pa - pag - pam - pap - pdc - pi - pih - pl - pms - ps - pt - qu - quality - rm - rmy - rn - ro - roa_rup - roa_tara - ru - rw - sa - sah - sc - scn - sco - sd - se - sg - sh - si - simple - sk - sl - sm - sn - so - sr - srn - ss - st - stq - su - sv - sw - szl - ta - te - tet - tg - th - ti - tk - tl - tlh - tn - to - tpi - tr - ts - tt - tum - tw - ty - udm - ug - uk - ur - uz - ve - vec - vi - vls - vo - wa - war - wo - wuu - xal - xh - yi - yo - za - zea - zh - zh_classical - zh_min_nan - zh_yue - zu -

Static Wikipedia 2006 (no images)

aa - ab - af - ak - als - am - an - ang - ar - arc - as - ast - av - ay - az - ba - bar - bat_smg - bcl - be - be_x_old - bg - bh - bi - bm - bn - bo - bpy - br - bs - bug - bxr - ca - cbk_zam - cdo - ce - ceb - ch - cho - chr - chy - co - cr - crh - cs - csb - cu - cv - cy - da - de - diq - dsb - dv - dz - ee - el - eml - eo - es - et - eu - ext - fa - ff - fi - fiu_vro - fj - fo - fr - frp - fur - fy - ga - gan - gd - gl - glk - gn - got - gu - gv - ha - hak - haw - he - hi - hif - ho - hr - hsb - ht - hu - hy - hz - ia - id - ie - ig - ii - ik - ilo - io - is - it - iu - ja - jbo - jv - ka - kaa - kab - kg - ki - kj - kk - kl - km - kn - ko - kr - ks - ksh - ku - kv - kw - ky - la - lad - lb - lbe - lg - li - lij - lmo - ln - lo - lt - lv - map_bms - mdf - mg - mh - mi - mk - ml - mn - mo - mr - mt - mus - my - myv - mzn - na - nah - nap - nds - nds_nl - ne - new - ng - nl - nn - no - nov - nrm - nv - ny - oc - om - or - os - pa - pag - pam - pap - pdc - pi - pih - pl - pms - ps - pt - qu - quality - rm - rmy - rn - ro - roa_rup - roa_tara - ru - rw - sa - sah - sc - scn - sco - sd - se - sg - sh - si - simple - sk - sl - sm - sn - so - sr - srn - ss - st - stq - su - sv - sw - szl - ta - te - tet - tg - th - ti - tk - tl - tlh - tn - to - tpi - tr - ts - tt - tum - tw - ty - udm - ug - uk - ur - uz - ve - vec - vi - vls - vo - wa - war - wo - wuu - xal - xh - yi - yo - za - zea - zh - zh_classical - zh_min_nan - zh_yue - zu

Static Wikipedia February 2008 (no images)

aa - ab - af - ak - als - am - an - ang - ar - arc - as - ast - av - ay - az - ba - bar - bat_smg - bcl - be - be_x_old - bg - bh - bi - bm - bn - bo - bpy - br - bs - bug - bxr - ca - cbk_zam - cdo - ce - ceb - ch - cho - chr - chy - co - cr - crh - cs - csb - cu - cv - cy - da - de - diq - dsb - dv - dz - ee - el - eml - en - eo - es - et - eu - ext - fa - ff - fi - fiu_vro - fj - fo - fr - frp - fur - fy - ga - gan - gd - gl - glk - gn - got - gu - gv - ha - hak - haw - he - hi - hif - ho - hr - hsb - ht - hu - hy - hz - ia - id - ie - ig - ii - ik - ilo - io - is - it - iu - ja - jbo - jv - ka - kaa - kab - kg - ki - kj - kk - kl - km - kn - ko - kr - ks - ksh - ku - kv - kw - ky - la - lad - lb - lbe - lg - li - lij - lmo - ln - lo - lt - lv - map_bms - mdf - mg - mh - mi - mk - ml - mn - mo - mr - mt - mus - my - myv - mzn - na - nah - nap - nds - nds_nl - ne - new - ng - nl - nn - no - nov - nrm - nv - ny - oc - om - or - os - pa - pag - pam - pap - pdc - pi - pih - pl - pms - ps - pt - qu - quality - rm - rmy - rn - ro - roa_rup - roa_tara - ru - rw - sa - sah - sc - scn - sco - sd - se - sg - sh - si - simple - sk - sl - sm - sn - so - sr - srn - ss - st - stq - su - sv - sw - szl - ta - te - tet - tg - th - ti - tk - tl - tlh - tn - to - tpi - tr - ts - tt - tum - tw - ty - udm - ug - uk - ur - uz - ve - vec - vi - vls - vo - wa - war - wo - wuu - xal - xh - yi - yo - za - zea - zh - zh_classical - zh_min_nan - zh_yue - zu