Implementation of inhibitory operation in neuromorphic system

Jeong Jun Lee; Min Woo Kwon; Hyungjin Kim; Sungmin Hwang; Byung Gook Park

doi:10.23919/SNW.2017.8242323

Implementation of inhibitory operation in neuromorphic system

Jeong Jun Lee, Min Woo Kwon, Hyungjin Kim, Sungmin Hwang, Byung Gook Park

Seoul National University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

An inhibition part of synapse-neuron connection is indispensable in a neuromorphic system for hardware implementation of artificial intelligence. First, when the system operates with the winner takes all method, a lateral inhibition is required to permit one neuron firing, thereby preventing other neurons from firing. In addition, in order to implement the negative weight, an inhibition part, which is the role of subtracting the signal, must be accompanied. Therefore, in this paper, the structure of a simple inhibition part for lateral inhibition and negative weight is presented and it is verified by simulation.

Original language	English
Title of host publication	2017 Silicon Nanoelectronics Workshop, SNW 2017
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	113-114
Number of pages	2
ISBN (Electronic)	9784863486478
DOIs	https://doi.org/10.23919/SNW.2017.8242323
State	Published - 29 Dec 2017
Externally published	Yes
Event	22nd Silicon Nanoelectronics Workshop, SNW 2017 - Kyoto, Japan Duration: 4 Jun 2017 → 5 Jun 2017

Publication series

Name	2017 Silicon Nanoelectronics Workshop, SNW 2017
Volume	2017-January

Conference

Conference	22nd Silicon Nanoelectronics Workshop, SNW 2017
Country/Territory	Japan
City	Kyoto
Period	4/06/17 → 5/06/17

Bibliographical note

Publisher Copyright:
© 2017 JSAP.

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10.23919/SNW.2017.8242323

Cite this

Lee, J. J., Kwon, M. W., Kim, H., Hwang, S., & Park, B. G. (2017). Implementation of inhibitory operation in neuromorphic system. In 2017 Silicon Nanoelectronics Workshop, SNW 2017 (pp. 113-114). Article 8242323 (2017 Silicon Nanoelectronics Workshop, SNW 2017; Vol. 2017-January). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.23919/SNW.2017.8242323

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title = "Implementation of inhibitory operation in neuromorphic system",

abstract = "An inhibition part of synapse-neuron connection is indispensable in a neuromorphic system for hardware implementation of artificial intelligence. First, when the system operates with the winner takes all method, a lateral inhibition is required to permit one neuron firing, thereby preventing other neurons from firing. In addition, in order to implement the negative weight, an inhibition part, which is the role of subtracting the signal, must be accompanied. Therefore, in this paper, the structure of a simple inhibition part for lateral inhibition and negative weight is presented and it is verified by simulation.",

author = "Lee, {Jeong Jun} and Kwon, {Min Woo} and Hyungjin Kim and Sungmin Hwang and Park, {Byung Gook}",

note = "Publisher Copyright: {\textcopyright} 2017 JSAP.; 22nd Silicon Nanoelectronics Workshop, SNW 2017 ; Conference date: 04-06-2017 Through 05-06-2017",

year = "2017",

month = dec,

day = "29",

doi = "10.23919/SNW.2017.8242323",

language = "English",

series = "2017 Silicon Nanoelectronics Workshop, SNW 2017",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

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booktitle = "2017 Silicon Nanoelectronics Workshop, SNW 2017",

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}

Lee, JJ, Kwon, MW, Kim, H, Hwang, S & Park, BG 2017, Implementation of inhibitory operation in neuromorphic system. in 2017 Silicon Nanoelectronics Workshop, SNW 2017., 8242323, 2017 Silicon Nanoelectronics Workshop, SNW 2017, vol. 2017-January, Institute of Electrical and Electronics Engineers Inc., pp. 113-114, 22nd Silicon Nanoelectronics Workshop, SNW 2017, Kyoto, Japan, 4/06/17. https://doi.org/10.23919/SNW.2017.8242323

Implementation of inhibitory operation in neuromorphic system. / Lee, Jeong Jun; Kwon, Min Woo; Kim, Hyungjin et al.
2017 Silicon Nanoelectronics Workshop, SNW 2017. Institute of Electrical and Electronics Engineers Inc., 2017. p. 113-114 8242323 (2017 Silicon Nanoelectronics Workshop, SNW 2017; Vol. 2017-January).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Lee, Jeong Jun

AU - Kwon, Min Woo

AU - Kim, Hyungjin

AU - Hwang, Sungmin

AU - Park, Byung Gook

PY - 2017/12/29

Y1 - 2017/12/29

N2 - An inhibition part of synapse-neuron connection is indispensable in a neuromorphic system for hardware implementation of artificial intelligence. First, when the system operates with the winner takes all method, a lateral inhibition is required to permit one neuron firing, thereby preventing other neurons from firing. In addition, in order to implement the negative weight, an inhibition part, which is the role of subtracting the signal, must be accompanied. Therefore, in this paper, the structure of a simple inhibition part for lateral inhibition and negative weight is presented and it is verified by simulation.

AB - An inhibition part of synapse-neuron connection is indispensable in a neuromorphic system for hardware implementation of artificial intelligence. First, when the system operates with the winner takes all method, a lateral inhibition is required to permit one neuron firing, thereby preventing other neurons from firing. In addition, in order to implement the negative weight, an inhibition part, which is the role of subtracting the signal, must be accompanied. Therefore, in this paper, the structure of a simple inhibition part for lateral inhibition and negative weight is presented and it is verified by simulation.

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DO - 10.23919/SNW.2017.8242323

M3 - Conference contribution

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T3 - 2017 Silicon Nanoelectronics Workshop, SNW 2017

SP - 113

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BT - 2017 Silicon Nanoelectronics Workshop, SNW 2017

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 22nd Silicon Nanoelectronics Workshop, SNW 2017

Y2 - 4 June 2017 through 5 June 2017

ER -

Implementation of inhibitory operation in neuromorphic system

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