Advanced search
User account
Login
Register
Find models by
Model name
First author
Each author
Find models for
Brain region
Concept
Find models of
Realistic Microcircuits
Connectionist Networks
I&F recurrent networks with current- or conductance-based synapses (Cavallari et al. 2014)
 
Download zip file
Help downloading and running models
Model Information
Model File
Accession:
152539
Recurrent networks of two populations (excitatory and inhibitory) of randomly connected Leaky Integrate-and-Fire (LIF) neurons with either current- or conductance-based synapses from the paper S. Cavallari, S. Panzeri and A. Mazzoni (2014)
Reference:
1 .
Cavallari S, Panzeri S, Mazzoni A (2014) Comparison of the dynamics of neural interactions between current-based and conductance-based integrate-and-fire recurrent networks.
Front Neural Circuits
8
:12
[
PubMed
]
Citations
Citation Browser
Model Information
(Click on a link to find other models with that property)
Model Type:
Realistic Network;
Neuron or other electrically excitable cell;
Brain Region(s)/Organism:
Neocortex;
Cell Type(s):
Abstract integrate-and-fire leaky neuron;
Channel(s):
Gap Junctions:
Receptor(s):
GabaA;
AMPA;
Gene(s):
Transmitter(s):
Simulation Environment:
MATLAB;
Model Concept(s):
Activity Patterns;
Implementer(s):
Cavallari, Stefano [stefano.cavallari at iit.it];
Search NeuronDB
for information about:
GabaA
;
AMPA
;
/
CavallariEtAl2014__7_2015
LIF_COBN
ReadMe_COBN.pdf
ReadMe_COBN.txt
code_COBN.c
code_COBN.m
gasdev.c
*
Other models using gasdev.c:
I&F recurrent networks with current- or conductance-based synapses (Cavallari et al. 2014)
gasdev.h
*
Other models using gasdev.h:
I&F recurrent networks with current- or conductance-based synapses (Cavallari et al. 2014)
OU_process.m
*
Other models using OU_process.m:
I&F recurrent networks with current- or conductance-based synapses (Cavallari et al. 2014)
parameters_COBN.m
ran1.c
*
Other models using ran1.c:
I&F recurrent networks with current- or conductance-based synapses (Cavallari et al. 2014)
ran1.h
*
Other models using ran1.h:
I&F recurrent networks with current- or conductance-based synapses (Cavallari et al. 2014)
File not selected
<- Select file from this column.