Title :
Synthesis of spiking neural oscillators
Author :
Selvaratnam, Kukan ; Kuroe, Yasuaki ; Mori, Takehiro
Author_Institution :
Dept. of Electron. & Inf. Sci., Kyoto Inst. of Technol., Japan
Abstract :
In the biological systems there are numerous examples of autonomously generated periodic activities. In an artificial spiking neural network (SNN) the information processing and transmission are carried out by spike trains in a manner similar to the generic biological neurons. In this paper, we propose a method for synthesis of spiking neural oscillators (SNO) by SNN, such that the SNN possesses desired autonomous oscillatory responses (limit cycle spike train). We consider a recurrent SNN constructed with integrate-and-fire type spiking neurons. Objective functions are set in such a way that minimization of them with respect to the network parameters realizes the desired SNO. Simulation examples are also provided to verify the efficiency and the applicability of the proposed algorithm
Keywords :
minimisation; network parameters; neural nets; oscillators; timing; artificial spiking neural network; autonomously generated periodic activities; biological systems; integrate-and-fire type spiking neurons; network parameters; oscillatory responses; spike trains; spiking neural oscillators synthesis; Artificial neural networks; Biological system modeling; Biological systems; Encoding; Frequency; Network synthesis; Neurons; Oscillators; Rhythm; Timing;
Conference_Titel :
Systems, Man, and Cybernetics, 1999. IEEE SMC '99 Conference Proceedings. 1999 IEEE International Conference on
Conference_Location :
Tokyo
Print_ISBN :
0-7803-5731-0
DOI :
10.1109/ICSMC.1999.814140
