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;
/
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: 2002-02-27
  
--------------------------------------------------------------------------*/


#ifndef CN_MULTIFIRE_INPUTNEURON_CC
#define CN_MULTIFIRE_INPUTNEURON_CC

#include "CN_multifire_inputneuron.h"
#include "CN_inputneuron.cc"

multifire_inputneuron::multifire_inputneuron(int inlabel, tnvector<int> inpos,
					     double *inp= INPUT_p):
  inputneuron(inlabel, MF_I_IVARNO, MULTIFIRE_INPUTNEURON, inpos,
	      inp, MF_I_PNO)
{
  theE= p[2];
  t_last= -1.0;
}

multifire_inputneuron::~multifire_inputneuron()
{
}

double multifire_inputneuron::E(double *x)
{
  if (x[0] != t_last) {
    theE= p[2];
    if (fno > 0) {
      red_tx= x[0] - ((int) (x[0]/p[4]))*p[4];
      for (int i= 0; i < fno; i++)
      {
	if (((red_tx >= tb[i]) && (red_tx < te[i]))
	    || ((te[i] < tb[i]) && ((red_tx > tb[i]) || (red_tx < te[i]))))
	{
	  if ((te[i] < tb[i]) && (red_tx < te[i]))
	    red_tx+= p[4];
	  red_tx= red_tx - tb[i];
	  difft= red_tx - ((int) (red_tx/p[1]))*p[1];
	  if (difft <= p[0]) theE= p[3];
	}
      }
    }
    t_last= x[0];
  }
  return theE;
}

#endif






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