Wang-Buzsaki Interneuron (Talathi et al., 2010)

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Accession:136308
The submitted code provides the relevant C++ files, matlabfiles and the data files essential to reproduce the figures in the JCNS paper titled Control of neural synchrony using channelrhodopsin-2: A computational study.
Reference:
1 . Talathi SS, Carney PR, Khargonekar PP (2010) Control of neural synchrony using channelrhodopsin-2: a computational study. J Comput Neurosci [PubMed]
Model Information (Click on a link to find other models with that property)
Model Type: Neuron or other electrically excitable cell; Synapse;
Brain Region(s)/Organism:
Cell Type(s): Neocortex fast spiking (FS) interneuron; Abstract Wang-Buzsaki neuron;
Channel(s):
Gap Junctions:
Receptor(s):
Gene(s):
Transmitter(s): Gaba;
Simulation Environment: C or C++ program;
Model Concept(s): Synchronization;
Implementer(s): Talathi Sachin [talathi at ufl.edu];
Search NeuronDB for information about:  Gaba;
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JCNS-2010-CodeAndData
simul_lrn
CNlib
CVS
readme *
CN_absynapse.cc *
CN_absynapse.h *
CN_absynapseECplast1.cc *
CN_absynapseECplast1.h *
CN_absynapseECplast2.cc *
CN_absynapseECplast2.h *
CN_absynapseECplast3.cc *
CN_absynapseECplast3.h *
CN_DCInput.cc *
CN_DCInput.h *
CN_ECneuron.cc *
CN_ECneuron.h *
CN_HHneuron.cc *
CN_HHneuron.h *
CN_inputneuron.cc *
CN_inputneuron.cc~
CN_inputneuron.h *
CN_LPneuronAstrid.cc *
CN_LPneuronAstrid.h *
CN_LPneuronRafi4.cc *
CN_LPneuronRafi4.h *
CN_multifire_inputneuron.cc *
CN_multifire_inputneuron.h *
CN_neuron.cc *
CN_neuron.h *
CN_NeuronModel.cc *
CN_NeuronModel.h *
CN_Poissonneuron.cc *
CN_Poissonneuron.h *
CN_Rallsynapse.cc *
CN_Rallsynapse.h *
CN_rk65n.cc *
CN_rk65n.h *
CN_rk65n.o
CN_synapse.cc *
CN_synapse.h *
CN_synapseAstrid.cc *
CN_synapseAstrid.h *
CN_TimeNeuron.cc *
CN_TimeNeuron.h *
CN_Valneuron.cc *
CN_Valneuron.h *
CN_Valneuron2.cc *
CN_Valneuron2.h *
ids.h *
Makefile *
testCN *
testCN.cc *
testCN.o
                            
/*--------------------------------------------------------------------------
   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: 2002-02-14
  
--------------------------------------------------------------------------*/


#ifndef CN_INPUTNEURON_CC
#define CN_INPUTNEURON_CC

#include "CN_inputneuron.h"
#include "CN_neuron.cc"

inputneuron::inputneuron(int inlabel, int iniVarno, int intype,
			 tnvector<int> inpos, double *inp, int inpno):
  neuron(inlabel, iniVarno, intype, inpos, inp, inpno)
{
  tb= new double[1];
  te= new double[1];
  theE= p[2];
  t_last= -1.0;
}

inputneuron::~inputneuron()
{
  delete[] tb;
  delete[] te;
}

void inputneuron::init(double *x, double *iniVars)
{
  neuron::init(x,iniVars);
  theE= p[2];
  t_last= x[0]-1.0;
}

void inputneuron::set_input(int infno, double *intb,
			    double *inte, double instime= -1.0)
{
  if (instime > 0.0) p[4]= instime;
  fno= infno;             // no. of bursts in pattern
  if (fno > 0) {
    delete[] tb;
    delete[] te;
    tb= new double[fno]; 
    te= new double[fno];
    
    for (int i= 0; i < fno; i++)
    {
      intb[i]= intb[i] - ((int) ((intb[i])/p[4]))*p[4];
      tb[i]= intb[i];
      inte[i]= inte[i] - ((int) ((inte[i])/p[4]))*p[4];
      te[i]= inte[i];
    }
  }
}

#endif

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