Title :
Spiking neural oscillators
Author :
Kuroe, Yasuaki ; Mori, Takehiro
Author_Institution :
Dept. of Electron. & Inf. Sci., Kyoto Inst. of Technol., Japan
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;
Conference_Titel :
SICE 2002. Proceedings of the 41st SICE Annual Conference
Print_ISBN :
0-7803-7631-5
DOI :
10.1109/SICE.2002.1195245
