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

 Download zip file 
Help downloading and running models
Accession:142199
A rate model of cortical networks composed of RS, FS and LTS neurons. Synaptic depression is modelled according to the Tsodyks-Markram scheme.
Reference:
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;
Channel(s):
Gap Junctions:
Receptor(s):
Gene(s):
Transmitter(s):
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];
#CDEBUGFLAGS = -g
CDEBUGFLAGS = -O2
CFLAGS = ${CDEBUGFLAGS} -I ${HOME}/work/obj
CC = gcc

#----------------------------------------------------------*

NM_HDRS_ALL = nr.h
NM_CSRS_ALL = nr.c
NM_OBJS_ALL = nr.o

rlf: rlf.o rlfn.o ${NM_OBJS_ALL}
	${CC} ${CFLAGS} rlf.o rlfn.o ${NM_OBJS_ALL} -lm -o rlf.ex

rlf.o:  rlf.c rlf.h rlfa.h
	${CC} ${CFLAGS} -c rlf.c
rlfn.o: rlfn.c rlfn.h rlfa.h
	${CC} ${CFLAGS} -c rlfn.c
nr.o:  nr.c nr.h
	${CC} ${CFLAGS} -c nr.c

clean:
	/bin/rm -f *.o

.KEEP_STATE:
 

Loading data, please wait...