TY - GEN
T1 - Implementation of inhibitory operation in neuromorphic system
AU - Lee, Jeong Jun
AU - Kwon, Min Woo
AU - Kim, Hyungjin
AU - Hwang, Sungmin
AU - Park, Byung Gook
N1 - Publisher Copyright:
© 2017 JSAP.
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.
UR - https://www.scopus.com/pages/publications/85051038025
U2 - 10.23919/SNW.2017.8242323
DO - 10.23919/SNW.2017.8242323
M3 - Conference contribution
AN - SCOPUS:85051038025
T3 - 2017 Silicon Nanoelectronics Workshop, SNW 2017
SP - 113
EP - 114
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 -