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(10):e1002248
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];
This program reproduces Fig. 11 in:
I. Hayut, B.W. Connors, E.E. Fanselow and D. Golomb,
LTS and FS inhibitory interneurons, short-term synaptic plasticity, and 
cortical circuit dynamics
PLoS Comput. Biol. 7(10): e1002248.

dyn_all.com           Command procedure that runs the program.
dyn_all.gr            XMGrace parameter file for plotting the figure.
rlf.c  rlfn.c         Program Files of C program.
rlf.h rlfn.h rlfa.h   Header files for C program.
nr.c                  Functions from NUmerical Recipes.
nr.h                  Header file for functions from NUmerical Recipes.
rlf.n.d4              Data file for panel A.
rlf.n.d1              Data file for panel B.
rlf.n.d2              Data file for panel C.
rlf.n.d5              Data file for panel D.

To run the program on a Linux machine with XMGrace graphics software, use
the commands:

make rlf

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