/*-------------------------------------------------------------------------- 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