Presentation 2002/3/12
Temporal-Domain Neural Competition in Analog Integrate-and-Fire Neurochips
Hideki HAYASHI, Takashi YAMADA, Tetsuya ASAI, Yoshihito AMEMIYA,
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Abstract(in English) In this report, we present an inhibitory neural network implemented on analog CMOS chips, whose neurons compete with each other in the frequency and time domains. The circuit for each neuron was designed to produce sequences in time of identically shaped pulses, called spikes. The results of experiments and simulations revealed that the network more efficiently achieved the selective activation and inactivation of the neural circuits on the basis of spike timing than on the basis of firing rates. The results indicate that neural processing based on the spike timing of neural circuits provides a possible way to overcome the low-tolerance problems of analog devices in noisy environments.
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Keyword(in English) Analog VLSI / Competitive neural network / Spike-timing code / Integrate-and-fire neurons
Paper # NC2001-172
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Committee NC
Conference Date 2002/3/12(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) Temporal-Domain Neural Competition in Analog Integrate-and-Fire Neurochips
Sub Title (in English)
Keyword(1) Analog VLSI
Keyword(2) Competitive neural network
Keyword(3) Spike-timing code
Keyword(4) Integrate-and-fire neurons
1st Author's Name Hideki HAYASHI
1st Author's Affiliation Department of Electrical Engineering, Hokkaido University()
2nd Author's Name Takashi YAMADA
2nd Author's Affiliation Department of Electrical Engineering, Hokkaido University
3rd Author's Name Tetsuya ASAI
3rd Author's Affiliation Department of Electrical Engineering, Hokkaido University
4th Author's Name Yoshihito AMEMIYA
4th Author's Affiliation Department of Electrical Engineering, Hokkaido University
Date 2002/3/12
Paper # NC2001-172
Volume (vol) vol.101
Number (no) 736
Page pp.pp.-
#Pages 6
Date of Issue