ModelDB: Inhibitory plasticity balances excitation and inhibition (Vogels et al. 2011)

Inhibitory plasticity balances excitation and inhibition (Vogels et al. 2011)

Accession: 143751

"Cortical neurons receive balanced excitatory and inhibitory synaptic currents. Such a balance could be established and maintained in an experience-dependent manner by synaptic plasticity at inhibitory synapses. We show that this mechanism provides an explanation for the sparse firing patterns observed in response to natural stimuli and fits well with a recently observed interaction of excitatory and inhibitory receptive field plasticity. ... Our results suggest an essential role of inhibitory plasticity in the formation and maintenance of functional cortical circuitry."
Reference: Vogels TP, Sprekeler H, Zenke F, Clopath C, Gerstner W (2011) Inhibitory plasticity balances excitation and inhibition in sensory pathways and memory networks. Science 334:1569-73 [PubMed]

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Model Information (Click on a link to find other models with that property)

Model Type:	Neuron or other electrically excitable cell;
Brain Region(s)/Organism:	Neocortex;
Cell Type(s):
Channel(s):
Gap Junctions:
Receptor(s):
Gene(s):
Transmitter(s):
Simulation Environment:	MATLAB; Brian;
Model Concept(s):	Synaptic Plasticity; STDP;
Implementer(s):	Zenke, Friedemann [friedemann.zenke at epfl.ch]; Vogels, Tim [tim.vogels at epfl.ch];

Model files

Help downloading and running models

VogelsEtAl2011

readme.html

screenshot.jpg

networkScreenshot.png

isp_brian.py

inhib_plasticity.m

InputCurrents.m

This is the readme for the code associated with the paper

Vogels TP, Sprekeler H, Zenke F, Clopath C, Gerstner W (2011)
Inhibitory plasticity balances excitation and inhibition in sensory
pathways and memory networks. Science 334:1569-73

This matlab code was included in the supplementary online material at
the Science journal website.  To run start matlab and cd to the folder
extracted from this archive.  Type "inhib_plasticity" in the matlab
command line and you should see the figure generating from the
supplementary pdf:



This archive also includes the authors matlab code (InputCurrents.m)
that makes the inputs separately as well as a Brian file
(isp_brian.py) (for Brian 1.3.0, not working with earlier versions)
(and a screenshot of the figure it produces) that runs the network
simulation:



20120307 line 71 in inhib_plasticity.m had round() added to it - T Vogels.

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