Presentation 2002/12/6
Duality between the rate code and the synchronous code in neural networks with chaotic inputs
Naoki MASUDA, Kazuyuki AIHARA,
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Abstract(in English) It has been debated whether the brain uses the temporal spike coding or the rate coding as its dominant mode. In this report, we examine a two-layered stochastic neural network model receiving chaotic inputs generated from the Chen's attractor. With low noise, the neurons in the downstream layer fire synchronously, and intervals of synchronous firing robustly encode the signal. With moderate amount of noise, however, the neurons fire asynchronously to encode external stimuli more accurately in terms of time resolution. A possible role of noise in the brain distinct from stochastic resonance, coherence resonance, and deterministic chaos is indicated. This duality of coding also appears when other model parameters are modulated. In real situations, animals may use the appropriate coding by switching from one coding scheme to another.
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Keyword(in English) temporal coding / rate coding / duality / chaos
Paper # NC2002-98
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Committee NC
Conference Date 2002/12/6(1days)
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Registration To Neurocomputing (NC)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Duality between the rate code and the synchronous code in neural networks with chaotic inputs
Sub Title (in English)
Keyword(1) temporal coding
Keyword(2) rate coding
Keyword(3) duality
Keyword(4) chaos
1st Author's Name Naoki MASUDA
1st Author's Affiliation Department of Complexity Science and Engineering, Graduate School of Frontier Science, the University of Tokyo:Japan Society for the Promotion of Science()
2nd Author's Name Kazuyuki AIHARA
2nd Author's Affiliation Department of Complexity Science and Engineering, Graduate School of Frontier Science, the University of Tokyo:CREST. Japan Science and Technology Co.(JST)
Date 2002/12/6
Paper # NC2002-98
Volume (vol) vol.102
Number (no) 508
Page pp.pp.-
#Pages 6
Date of Issue