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Dynamical Encoding by Networks of Competing Neuron Groups: Winnerless Competition

Rabinovich, M. and Volkovskii, A. and Lecanda, P. and Huerta, R. and Abarbanel, H. D. I. and Laurent, G. (2001) Dynamical Encoding by Networks of Competing Neuron Groups: Winnerless Competition. Physical Review Letters, 87 (6). Art. no. 068102. ISSN 0031-9007. doi:10.1103/PhysRevLett.87.068102.

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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.

Item Type:Article
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Laurent, G.0000-0002-2296-114X
Additional Information:©2001 The American Physical Society Received 29 December 2000; published 20 July 2001 We thank Mark Stopfer for experimental data. This work was supported by the U.S. Department of Energy, Office of Basic Energy Sciences, Division of Engineering and Geosciences, under Grants No. DE-FG03-90ER14138 and No. DE-FG03-96ER14592, by NIDCD (G. L.), and by M. Ciencia y Tecnología BFI2000-0157 (R. H.).
Funding AgencyGrant Number
Department of Energy (DOE)DE-FG03-90ER14138
Department of Energy (DOE)DE-FG03-96ER14592
National Institute on Deafness and Communication DisordersUNSPECIFIED
Ministerio de Ciencia y Tecnología (MCT)BFI2000-0157
Issue or Number:6
Record Number:CaltechAUTHORS:RABprl01
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Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:1531
Deposited By: Archive Administrator
Deposited On:27 Jan 2006
Last Modified:08 Nov 2021 19:11

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