ObjSim/src/objsim.cpp

#include <iostream>
#include <math.h>
#include <stdio.h>
#include <stdlib.h> 

#include <libcsim.hpp>



////////////////////

const	int		Ne = 1600;		// excitatory neurons			
const	int		Ni = Ne/4;		// inhibitory neurons				 
const	int		N  = Ne+Ni;		// total number of neurons	
const	int		M  = N/10;		// the number of synapses per neuron 
const	int		D  = 20;		// maximal axonal conduction delay
float	sm = 10.0;		// maximal synaptic strength		

const int PS = 10; // max pattern size
const int PO = 9; // pattern overlap
const int NP = 100; // number of patterns
const int PTIME = 20; // time per pattern in ms
const float ISTRENGTH = 20; // input strength
const float TAULEARN = 150; //

int ipat[NP][PS];  // input pattern array
int ppt; // pattern pointer
int ptime; // pattern time
int testtime; // time to next test stimulus
int simphase;  // simulation phase; 0: training; 1: test

int main()
{
     InitLibCSim();
     int		i, j, k, sec, t;


     liflayer *exlayer;
     exlayer=new liflayer(800);
     exlayer->SetSpikeFileName("exspikes.dat");
     input *inp = new input(exlayer, 5);
     layer *inhlayer= new layer(200);
     connection *ccc = new connection(exlayer,exlayer); 
     ccc->ConnectDirectional(0.035, 6);
     ccc->SetFileName("exexweights.dat");
     ccc->Save();
     ccc->SetLearn(false);

     connection *cei = new connection(exlayer,inhlayer); 
     cei->ConnectRandom(0.025,0.1);
     cei->SetFileName("exinhweights.dat");
     cei->SetLearn(false);

     connection *cie = new connection(inhlayer,exlayer); 
     cie->ConnectRandom(0.5,-2);
     cie->SetLearn(false);

     for (sec=0; sec<60*60*24; sec++)		// simulation of 1 day
     {
	  cout << "sec= " << sec << "  ";
	  // if ((sec%10)<9) simphase=0; else simphase=1;
	  for (t=0;t<1000;t++) 				// simulation of 1 sec
	  {
	       exlayer->proceede(t);
	       inhlayer->proceede(t);
	       ccc->proceede(t);
	       cei->proceede(t);
	       cie->proceede(t);
	       if (t>200 && t<400) inp->proceede();
	  }
          exlayer->prepare();
          inhlayer->prepare();      
          ccc->prepare();
          cei->prepare();
          cie->prepare();
     }

}