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Abstract
This report describes the classic Hodgkin-Huxley model of neuron electrochemical activity that leads to synapses, extended to consideration of unidimensional propagation along a sequence of neurons.
Multicellular biological organisms with differentiated cells need to establish information transfer between various specialized cells. We consider an extension of the classical Hodgkin-Huxley electrochemical neuron model [?] to series of neurons.
As shown in Fig. 1, a neuron is a specialized cell with an elongated extension called an axon and several shorter extensions called dendrites.
specific membrane permeability for different ions (K\(^+\), Na\(^+\), Cl\(^-\))
neuron membranes exhibit polarization achieved by: passive ion transport and active ion transport mediated by Na/K ion channel pumps
\(\circ\)Neuron structure maintains a resting polarization voltage across an axon membrane of \(V_r = - 70\) mV.
Assuming constant ion concentrations in an axon cross-section the rate of change of K\(^+\), Na\(^+\), Cl\(^-\) concentrations is given by the ODE system
\(\circ\)
\(\circ\)
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The equations express a two time scale concentration evolution between values of 0 and 1 with time scales given by \(\alpha_i, \beta_i\) respectively (Fig. )
Ions are transported across the axon membrane due to a voltage difference. Transport occurs across ion channels, both passively and actively. The overall rate of change of voltage is given by
\(\bullet\)
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iNa = gNA (m[t])^3 h[t] (V[t] - ENa); iK = gK (n[t])^4 (V[t] - EK); iCl = gl (V[t] - El); |
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ODE4 = Cm V'[t] == iNa + iK + iCL + P[t]; |
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\(\circ\)The resting voltages for the individual ions are \(E_{\operatorname{Na}} = 55\) mV, \(E_K = - 82\) mV, \(E_{\ell} = - 59\) mV
\(\circ\)Ion conductance constants are \(\)\(\bar{g}_{\operatorname{Na}} = 70.7\) (m-mhos/cm\(^2\)), \(\)\(\bar{g}_K = 24.34\) (m-mhos/cm\(^2\)), \(g_{\ell} = 0.3\) (m-mhos/cm\(^2\)).
\(\circ\)The membrane capacitance is \(C_m = 0.001\) (F/cm\(^2\))
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ODEsys = {ODE1,ODE2,ODE3,ODE4}; |
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IC = {m[0]==1,n[0]==0.5,h[0]==0.25,V[0]=-70}; |
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am[V_]=V; an[V_]=V; al[V_]=V; bm[V_]=1; bn[V_]=1; bl[V_]=V; |
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gNA=70.7; gK=24.34; gl=0.5; |
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P[t_]=0; |
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sol=NDSolve[Flatten[ODEsys,IC],{m[t],n[t],l[t],V[t]},{t,0,1}]; |
Flatten::flpi: Levels to be flattened together in
m[0] == 1, n[0] == 0.5, h[0] == 0.25, -70 should be lists of
positive integers.
NDSolve::deqn: Equation or list of equations
expected instead of Flatten[m'[t] == -m[t] + (1 - m[t]) V[t],
n'[t] == -n[t] + (1 - n[t]) V[t], h'[t] == ah[<<1>>]
<<1>> + <<1>>, 4 3 Cm V'[t] == iCL +
n[t] (-EK + V[t]) + h[t] m[t] (-ENa + V[t]), <<4>>]
in the first argument Flatten[m'[t] == -m[t] + (1 - m[t]) V[t],
n'[t] == -n[t] + (1 - n[t]) V[t], h'[t] == ah[<<1>>]
<<1>> + <<1>>, 4 3 Cm V'[t] == iCL +
n[t] (-EK + V[t]) + h[t] m[t] (-ENa + V[t]),
<<4>>].
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