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Generating coherent patterns of activity from chaotic neural networks (Sussillo and Abbott 2009)
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Model Information
Model File
Citations
Accession:
127967
"Neural circuits display complex activity patterns both spontaneously and when responding to a stimulus or generating a motor output. How are these two forms of activity related? We develop a procedure called FORCE learning for modifying synaptic strengths either external to or within a model neural network to change chaotic spontaneous activity into a wide variety of desired activity patterns. ... Our results reproduce data on premovement activity in motor and premotor cortex, and suggest that synaptic plasticity may be a more rapid and powerful modulator of network activity than generally appreciated."
Reference:
1 .
Sussillo D, Abbott LF (2009) Generating coherent patterns of activity from chaotic neural networks.
Neuron
63
:544-57
[
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):
Channel(s):
Gap Junctions:
Receptor(s):
Gene(s):
Transmitter(s):
Simulation Environment:
MATLAB (web link to model);
Model Concept(s):
Temporal Pattern Generation;
Oscillations;
Rate-coding model neurons;
Implementer(s):
(located via links below)
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