DocumentCode
393462
Title
Spiking neural oscillators
Author
Kuroe, Yasuaki ; Mori, Takehiro
Author_Institution
Dept. of Electron. & Inf. Sci., Kyoto Inst. of Technol., Japan
Volume
2
fYear
2002
fDate
5-7 Aug. 2002
Firstpage
725
Abstract
In spiking neural networks (SNNs) the information processing is carried out by spike trains in a manner similar to the generic biological neurons. This paper presents a method for synthesis of neural oscillators by SNN´s. We propose a learning method of SNN´s such that they possess the desired periodic spike trains with specified spike emission times.
Keywords
learning (artificial intelligence); neural nets; generic biological neurons; learning method; limit cycle; neural oscillator; neural oscillators; periodic spike trains; spiking neural networks; Biological information theory; Delay effects; Filters; Learning systems; Limit-cycles; Network synthesis; Neural networks; Neurons; Oscillators; Tin;
fLanguage
English
Publisher
ieee
Conference_Titel
SICE 2002. Proceedings of the 41st SICE Annual Conference
Print_ISBN
0-7803-7631-5
Type
conf
DOI
10.1109/SICE.2002.1195245
Filename
1195245
Link To Document