/*--------------------------------------------------------------------------
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: 2005-08-17
--------------------------------------------------------------------------*/
#ifndef CN_S01SYNAPSE_CC
#define CN_S01SYNAPSE_CC
#include "CN_synapse.cc"
// This is the constructor to be used by derived classes passing the new
// internal var number, parameter number and type tag
S01synapse::S01synapse(neuron *insource, neuron *intarget,
double ingsyn, double inEsyn, double inEpre,
double intau, double inS1, double inVslope,
int inIVARNO, int inPNO, int inTYPE):
synapse(insource, intarget, inIVARNO, inPNO, inTYPE)
{
p[0]= ingsyn; // gsyn strength of synapse
p[1]= inEsyn; // Esyn reversal potential in mV
p[2]= inEpre; // Epre presyn threshold potential in mV
p[3]= intau; // alpha timescale in 1/msec
p[4]= inS1; // beta timescale in 1/msec
p[5]= inVslope; // steepness of activation curve as func of Vpre
}
// This is the constructor to be used directly ...
S01synapse::S01synapse(neuron *insource, neuron *intarget,
double ingsyn, double inEsyn, double inEpre,
double intau, double inS1, double inVslope):
synapse(insource, intarget, S01SYNIVARNO, S01SYNPNO, S01SYN)
{
p[0]= ingsyn; // gsyn strength of synapse
p[1]= inEsyn; // Esyn reversal potential in mV
p[2]= inEpre; // Epre presyn threshold potential in mV
p[3]= intau; // timescale in 1/msec
p[4]= inS1; // S_1
p[5]= inVslope; // steepness of activation curve as func of Vpre
}
S01synapse::S01synapse(neuron *insource, neuron *intarget, double *inp):
synapse(insource, intarget, S01SYNIVARNO, S01SYNPNO, S01SYN)
{
set_p(inp);
}
S01synapse::~S01synapse()
{
}
double S01synapse::gsyn()
{
return p[0];
}
void S01synapse::set_gsyn(double ingsyn)
{
p[0]= ingsyn;
}
double S01synapse::Isyn(double *x)
{
return -p[0]*x[idx]*(target->E(x)-p[1]);
}
void S01synapse::derivative(double *x, double *dx)
{
static double tmp;
tmp= (1.0+tanh((source->E(x)-p[2])/p[5]))/2.0;
dx[idx]= (tmp - x[idx])/(p[3]*(p[4]-tmp));
}
// end of class implementation
#endif
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