Presentation 2003/1/28
An Asynchronous Pulse Neuron Integrated Circuit
Takuya TANIGUCHI, Yoshihiko HORIO, Kazuyuki AIHARA,
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Abstract(in English) An asynchronous pulse neural network model has been proposed. The model uses a dynamical spacio-temporal pattern in a network to process information. In such a network, precise timing of each action potential is important. Therefore, an analog circuit implementation of the model is desired because the analog circuit can handle continuous time and values. In this paper, we integrate a neuron circuit for the asynchronous pulse neural network model. The model parameters of the IC chip can be altered externally, so that the neuron circuit works as either an integrator or a coincidence detector, or in between. Experimental measurements confirm that the integrated neuron circuit qualitatively replicates the behavior of the asynchronous pulse neuron model.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Pulse Neural Network / Analog Integrated Circuit / Asynchronous system
Paper # NLP2002-112
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Committee NLP
Conference Date 2003/1/28(1days)
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Registration To Nonlinear Problems (NLP)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) An Asynchronous Pulse Neuron Integrated Circuit
Sub Title (in English)
Keyword(1) Pulse Neural Network
Keyword(2) Analog Integrated Circuit
Keyword(3) Asynchronous system
1st Author's Name Takuya TANIGUCHI
1st Author's Affiliation Dept. of Electronic Engineering, Tokyo Denki University Graduate School()
2nd Author's Name Yoshihiko HORIO
2nd Author's Affiliation Dept. of Electronic Engineering, Tokyo Denki University Graduate School
3rd Author's Name Kazuyuki AIHARA
3rd Author's Affiliation Dept. of Mathematical Engineering, The University of Tokyo:JST
Date 2003/1/28
Paper # NLP2002-112
Volume (vol) vol.102
Number (no) 626
Page pp.pp.-
#Pages 6
Date of Issue