Rate model of a cortical RS-FS-LTS network (Hayut et al. 2011)

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A rate model of cortical networks composed of RS, FS and LTS neurons. Synaptic depression is modelled according to the Tsodyks-Markram scheme.
1 . Hayut I, Fanselow EE, Connors BW, Golomb D (2011) LTS and FS inhibitory interneurons, short-term synaptic plasticity, and cortical circuit dynamics. PLoS Comput Biol 7:e1002248 [PubMed]
Model Information (Click on a link to find other models with that property)
Model Type: Realistic Network;
Brain Region(s)/Organism:
Cell Type(s): Neocortex fast spiking (FS) interneuron; Neocortex spiking regular (RS) neuron; Neocortex spiking low threshold (LTS) neuron;
Gap Junctions:
Simulation Environment: C or C++ program;
Model Concept(s): Short-term Synaptic Plasticity; Rate-coding model neurons;
Implementer(s): Golomb, David [golomb at bgu.ac.il];
#ifndef min
#define min(x,y) ( ((x) < (y)) ? (x) : (y) )
#define max(x,y) ( ((x) > (y)) ? (x) : (y) )

#ifndef Pi
#define Pi 3.1415926535897931

#ifndef NR_END
#define NR_END 1

#ifndef FREE_ARG
#define FREE_ARG char*

#ifndef div_nz
#define div_nz(x,y) ( (fabs(y) < (runpar.epsilon)) ? (0) : (x/y) )

#ifndef Gammaf
#define Gammaf(VV, theta,sigma) ( 1.0/(1.0+exp(-(VV-(theta))/(sigma))) )

/* Structure Declaration */

typedef struct fl_st{
  FILE *in, *tmp, *out, *col, *avr;
} fl_st;

typedef struct avr_val{
  double MRend, MLend, MFend;
  double MLmin, MLmax;
  double MFmin, MFmax;
  double MRmin, MRmax;
  double TT, freq, Tup, dutyc;
  double t_ML_pos;
  char pattern;
} avr_val;

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