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A subthreshold MOS neuron circuit based on the Volterra system

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Title: A subthreshold MOS neuron circuit based on the Volterra system
Authors: Asai, Tetsuya1 Browse this author →KAKEN DB
Kanazawa, Yusuke Browse this author
Amemiya, Yoshihito Browse this author
Authors(alt): 浅井, 哲也1
Issue Date: Sep-2003
Publisher: IEEE
Journal Title: IEEE transactions on neural networks
Volume: 14
Issue: 5
Start Page: 1308
End Page: 1312
Publisher DOI: 10.1109/TNN.2003.816357
Abstract: We present an analog neuron circuit consisting of a small number of metal-oxide semiconductor (MOS) devices operating in their subthreshold region. The dynamics of the circuit were designed to be equivalent to the well-known Volterra system to facilitate developing the circuit for a particular application. We show that a simple nonlinear transformation of system variables in the Volterra system enables designing a neuron-like oscillator, which can produce sequences in time of identically shaped pulses (spikes) by using current-mode subthreshold MOS circuits. We present experimental results of the fabricated neuron circuits as well as an application in an inhibitory neural network, where the neurons compete with each other in the frequency and time domains.
Rights: ©2003 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE. IEEE, "IEEE Transactions on Neural Networks", 14-5, 2003, 1308-1312
Type: article
URI: http://hdl.handle.net/2115/5413
Appears in Collections:情報科学院・情報科学研究院 (Graduate School of Information Science and Technology / Faculty of Information Science and Technology) > 雑誌発表論文等 (Peer-reviewed Journal Articles, etc)

Submitter: 浅井 哲也

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