DocumentCode :
2327220
Title :
A MOS circuit for depressing synapse and its application to contrast-invariant pattern classification and synchrony detection
Author :
Asai, Tetsuya ; Kanazawa, Yusuke ; Hirose, Tetsuya ; Amemiya, Yoshihito
Author_Institution :
Dept. of Electr. Eng., Hokkaido Univ., Sapporo, Japan
Volume :
4
fYear :
2004
fDate :
25-29 July 2004
Firstpage :
2619
Abstract :
A compact complementary metal-oxide semiconductor (CMOS) circuit for depressing synapses is designed for demonstrating applications of spiking neural networks for contrast-invariant pattern classification and synchrony detection. Although the unit circuit consists of only five minimum-sized transistors, they emulate fundamental properties of depressing synapses. The results of the operations are evaluated by both experiments and simulation program with integrated circuit emphasis (SPICE).
Keywords :
CMOS logic circuits; SPICE; neural nets; pattern classification; MOS circuit; compact complementary metal-oxide semiconductor circuit; contrast-invariant pattern classification; depressing synapse; simulation program with integrated circuit emphasis; spiking neural networks; synchrony detection; Biological neural networks; Circuits; Nervous system; Neural network hardware; Neuromorphics; Neurons; Pattern classification; SPICE; Silicon; Timing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Neural Networks, 2004. Proceedings. 2004 IEEE International Joint Conference on
ISSN :
1098-7576
Print_ISBN :
0-7803-8359-1
Type :
conf
DOI :
10.1109/IJCNN.2004.1381059
Filename :
1381059
Link To Document :
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