#include "iostream.h" //#include "../define.h" #include "../Neuron.h" #include "../Synapse.h" //#include "../HHneuron/HHneuron.h" #include "../Izhineuron/Izhineuron.h" #include "modelGABAAsynapse.h" #include"../rk4.h" #include "GABAAsynapse.h" #ifndef _GABAAsynapse_ #define _GABAAsynapse_ GABAAsynapse::GABAAsynapse():Synapse(){} GABAAsynapse::GABAAsynapse(Neuron *obj1,Neuron *obj2,double a,int s):Synapse(obj1,obj2,GA_DIM,GA_PAR) { Evalid=Isynvalid=0; int i; steptransfer=s; xnew=new double[Dimno]; extra=new double[2]; x=new double[Parno]; dx=new double[Dimno]; parameter=new double[Parno]; extra[0]=double(steptransfer); extra[1]=0; x[0]=.00; parameter[0]=a; parameter[1]=-82; parameter[2]=.71429; //parameter[2]=.05; parameter[3]=.18; parameter[4]=2; parameter[5]=5; } GABAAsynapse::GABAAsynapse(Neuron *obj1,Neuron *obj2,double *a,double *b,int s):Synapse(obj1,obj2,GA_DIM,GA_PAR) { Evalid=Isynvalid=0; int i; steptransfer=s; xnew=new double[Dimno]; extra=new double[2]; x=new double[Parno]; dx=new double[Dimno]; parameter=new double[Parno]; extra[0]=double(steptransfer); extra[1]=0; for(i=0;i<Dimno;i++) x[i]=a[i]; for(i=0;i<Parno;i++) //parameter 0 is the synaptic strength and parameter 1 is parameter[i]=b[i]; // Ereversal for the synapse,parameter 2 is Vth of GABAAsynapse } //parameter 3 is synaptic timescale for synapse GABAAsynapse::~GABAAsynapse() { delete x; delete dx; delete parameter; delete extra; delete xnew; } void GABAAsynapse::setvalues(Neuron *obj1, Neuron *obj2,double *a,double *b,int s) { int i; steptransfer=s; Evalid=Isynvalid=0; source=obj1; target=obj2; source->axon.add(this); target->den.add(this); Dimno=GA_DIM; Parno=GA_PAR; xnew=new double[Dimno]; extra=new double[2]; x=new double[Parno]; dx=new double[Dimno]; parameter=new double[Parno]; extra[0]=double(steptransfer); extra[1]=0; for(i=0;i<Dimno;i++) x[i]=a[i]; for(i=0;i<Parno;i++) //parameter 0 is the synaptic strength and parameter 1 is parameter[i]=b[i]; } void GABAAsynapse::update(double timestep) { step(timestep,x,dx,parameter,extra,xnew,Dimno,&t,&modelGABAAsynapse); Isynvalid=1; } void GABAAsynapse::steptime() { assert(Isynvalid); for(int i=0;i<Dimno;i++) { x[i]=xnew[i]; } Evalid=Isynvalid=0; } void GABAAsynapse::getvol() { if(!Evalid) { if (extra[0]==0) extra[1]=source->E(); else extra[1]=source->sp(); } Evalid=1; } double GABAAsynapse::Isyn() { double Isync; Isync=-parameter[0]*x[0]*(target->E()-parameter[1]); return(Isync); } #endif /* x[0]=the synaptic open channel probability parameter[0]=synaptic max cinductance parameter[1]=synaptic reversal potential parameter[2]= alpha term for rise time for open channel parameter[3]=beta term for fall time of open channel parameter[4]=Vp..the threshold for activation of open channel probability (default=2) parameter[5]=Kp---normalizing factor (default 5) */