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  Dynamical encoding by networks of competing neuron groups: winnerless competition

Rabinovich, M., Volkovskii, A., Lecanda, P., Huerta, R., Abarbanel, H. D., & Laurent, G. (2001). Dynamical encoding by networks of competing neuron groups: winnerless competition. Phys Rev Lett, 87(6), 068102. doi:10.1103/PhysRevLett.87.068102.

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Item Permalink: https://hdl.handle.net/21.11116/0000-0008-07DE-7 Version Permalink: https://hdl.handle.net/21.11116/0000-0008-07DF-6
Genre: Journal Article

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https://www.ncbi.nlm.nih.gov/pubmed/11497865 (Any fulltext)
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 Creators:
Rabinovich, M.1, Author
Volkovskii, A.1, Author
Lecanda, P.1, Author
Huerta, R.1, Author
Abarbanel, H. D.1, Author
Laurent, G.1, Author
Affiliations:
1Max Planck Society, ou_persistent13              

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Free keywords: Action Potentials/physiology Animals Fishes/physiology Grasshoppers/physiology *Models, Neurological Nerve Net/*physiology Neurons/*physiology Olfactory Pathways/physiology Synapses/physiology
 Abstract: Following studies of olfactory processing in insects and fish, we investigate neural networks whose dynamics in phase space is represented by orbits near the heteroclinic connections between saddle regions (fixed points or limit cycles). These networks encode input information as trajectories along the heteroclinic connections. If there are N neurons in the network, the capacity is approximately e(N-1)!, i.e., much larger than that of most traditional network structures. We show that a small winnerless competition network composed of FitzHugh-Nagumo spiking neurons efficiently transforms input information into a spatiotemporal output.

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 Dates: 2001-08-11
 Publication Status: Issued
 Pages: -
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 Table of Contents: -
 Rev. Type: -
 Identifiers: Other: 11497865
DOI: 10.1103/PhysRevLett.87.068102
ISSN: 0031-9007 (Print) 0031-9007 (Linking)
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Title: Phys Rev Lett
Source Genre: Journal
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Pages: - Volume / Issue: 87 (6) Sequence Number: - Start / End Page: 068102 Identifier: -