/*--------------------------------------------------------------------------
Author: Thomas Nowotny
Institute: Institute for Nonlinear Dynamics
University of California San Diego
La Jolla, CA 92093-0402
email to: tnowotny@ucsd.edu
initial version: 2005-08-19
--------------------------------------------------------------------------*/
#ifndef CN_LPANEURON_CC
#define CN_LPANEURON_CC
#include "CN_neuron.cc"
LPAneuron::LPAneuron(int inlabel, double *the_p= LPA_p):
neuron(inlabel, LPA_IVARNO, LPANEURON, the_p, LPA_PNO)
{
}
LPAneuron::LPAneuron(int inlabel, vector<int> inpos, double *the_p= LPA_p):
neuron(inlabel, LPA_IVARNO, LPANEURON, inpos, the_p, LPA_PNO)
{
}
inline double LPAneuron::E(double *x)
{
return x[idx];
}
#define efunc(X,Y,Z) (1.0/(1.0+expl(((X)+(Y))/(Z))))
#define E x[idx]
#define Capacit p[0]
#define tau_Ca p[1]
#define f p[2]
#define C_Ca_0 p[3]
#define E_Na p[4]
#define E_K p[5]
#define E_H p[6]
#define E_leak p[7]
#define g_H p[8]
#define g_leak p[9]
#define g_Na p[10]
#define g_CaT p[11]
#define g_CaS p[12]
#define g_A p[13]
#define g_KCa p[14]
#define g_Kd p[15]
#define Area p[16]
void LPAneuron::currents(ostream &os, double *x)
{
_E_Ca=(12.5*log(3000.0/x[idx+12]));
I_Na= g_Na*pw3(x[idx+1])*x[idx+2]*(E-E_Na)*Area;
I_CaT= g_CaT*pw3(x[idx+3])*x[idx+4]*(E-_E_Ca)*Area;
I_CaS= g_CaS*pw3(x[idx+5])*x[idx+6]*(E-_E_Ca)*Area;
I_A= g_A*pw3(x[idx+7])*x[idx+8]*(E-E_K)*Area;
I_KCa= g_KCa*pw4(x[idx+9])*(E-E_K)*Area;
I_Kd= g_Kd*pw4(x[idx+10])*(E-E_K)*Area;
I_H= g_H*x[idx+11]*(E-E_H)*Area;
I_leak= g_leak*(E-E_leak)*Area;
os << I_Na << " ";
os << I_CaT << " ";
os << I_CaS << " ";
os << I_A << " ";
os << I_KCa << " ";
os << I_Kd << " ";
os << I_H << " ";
os << I_leak << " ";
}
void LPAneuron::derivative(double *x, double *dx)
{
Isyn= 0.0;
forall(den, den_it) {
Isyn+= (*den_it)->Isyn(x);
}
_E_Ca=(12.5*log(3000.0/x[idx+12]));
I_Na= g_Na*pw3(x[idx+1])*x[idx+2]*(E-E_Na);
I_CaT= g_CaT*pw3(x[idx+3])*x[idx+4]*(E-_E_Ca);
I_CaS= g_CaS*pw3(x[idx+5])*x[idx+6]*(E-_E_Ca);
I_A= g_A*pw3(x[idx+7])*x[idx+8]*(E-E_K);
I_KCa= g_KCa*pw4(x[idx+9])*(E-E_K);
I_Kd= g_Kd*pw4(x[idx+10])*(E-E_K);
I_H= g_H*x[idx+11]*(E-E_H);
I_leak= g_leak*(E-E_leak);
dx[idx]= Isyn/Capacit -(I_Na + I_Kd + I_CaT + I_CaS + I_A + I_KCa +
I_H + I_leak)*Area/Capacit;
// differential eqn for mNa
_minf=efunc(E,25.5,-5.29);
_taum=2.64-2.52*efunc(E,120.0,-25.0);
dx[idx+1]=(_minf-x[idx+1])/_taum;
// differential eqn for hNa
_hinf= efunc(E,48.9,5.18);
_tauh= (1.34*efunc(E,62.9,-10.0))*(1.5+efunc(E,34.9,3.6));
if (_tauh < 1e-2) _tauh= 1e-2; // this is a horrible numerical instability
// if the neuron is hyperpolarized, _tauh goes to 0 amplifying the already
// clear disadvantageous rounding errors in (order of 1 - order of 1)
// in mNa *a lot*. This leads to an explosion and eventually nan ...
// cerr << _hinf << " " << _tauh << " ";
dx[idx+2]=(_hinf-x[idx+2])/_tauh;
// differential eqn for mCa1
_minf= efunc(E,27.1,-7.2);
_taum= 43.4-42.6*efunc(E,68.1,-20.5);
dx[idx+3]=(_minf-x[idx+3])/_taum;
// differential eqn for hCa1
_hinf= efunc(E,32.1,5.5);
_tauh= 210.0-179.6*efunc(E,55.0,-16.9);
dx[idx+4]=(_hinf-x[idx+4])/_tauh;
// differential eqn for mCa2
_minf= efunc(E,33.0,-8.1);
_taum= 2.8+(14.0/(exp((E+27.0)/10.0)+exp((E+70.0)/-13.0)));
dx[idx+5]=(_minf-x[idx+5])/_taum;
// differential eqn for hCa2
_hinf= efunc(E,60,6.2);
_tauh= 120+(300.0/(exp((E+55.0)/9.0)+exp((E+65.0)/-16)));
dx[idx+6]=(_hinf-x[idx+6])/_tauh;
// differential eqn for mA
_minf= efunc(E,27.2,-8.7);
_taum= 23.2-20.8*efunc(E,32.9,-15.2);
dx[idx+7]=(_minf-x[idx+7])/_taum;
// differential eqn for hA
_hinf= efunc(E,56.9,4.9);
_tauh= 77.2-58.4*efunc(E,38.9,-26.5);
dx[idx+8]=(_hinf-x[idx+8])/_tauh;
// differential eqn for mKCa
_minf= (x[idx+12]/(x[idx+12]+3.0))*efunc(E,28.3,-12.6);
_taum= 180.6-150.2*efunc(E,46.0,-22.7);
dx[idx+9]=(_minf-x[idx+9])/_taum;
// differential eqn for mKd
_minf= efunc(E,12.3,-11.8);
_taum= 14.4-12.8*efunc(E,28.3,-19.2);
dx[idx+10]=(_minf-x[idx+10])/_taum;
// differential eqn for mh
_minf= efunc(E,75.0,5.5);
_taum= 2.0/(exp((E+169.7)/-11.6)+exp((E-26.7)/14.3));
if (_taum < 1e-2) _taum= 1e-2; // same instability as for _tauh_Na ...
dx[idx+11]=(_minf-x[idx+11])/_taum;
// differential eqn for o, prob. of Ca mediated K channel activation
dx[idx+12]=(-f*(I_CaT+I_CaS)-x[idx+12]+C_Ca_0)/tau_Ca;
// the Isyn is calculated elsewhere
dx[idx+13]= 0.0;
}
#undef efunc
#undef E
#undef Capacit
#undef tau_Ca
#undef f
#undef C_Ca_0
#undef E_Na
#undef E_K
#undef E_H
#undef E_leak
#undef g_H
#undef g_leak
#undef g_Na
#undef g_CaT
#undef g_CaS
#undef g_A
#undef g_KCa
#undef g_Kd
#undef Area
#endif
