SYNCHRONIZATION AND COMPUTATION IN A CHAOTIC NEURAL NETWORK

被引：268
作者：
HANSEL, D
SOMPOLINSKY, H
机构：
[1] HEBREW UNIV JERUSALEM,RACAH INST PHYS,IL-91904 JERUSALEM,ISRAEL
[2] HEBREW UNIV JERUSALEM,CTR NEURAL COMPUTAT,IL-91904 JERUSALEM,ISRAEL
来源：
PHYSICAL REVIEW LETTERS | 1992年 / 68卷 / 05期
关键词：
D O I：
10.1103/PhysRevLett.68.718
中图分类号：
O4 [物理学];
学科分类号：
0702 ;
摘要：
Chaos generated by the internal dynamics of a large neural network can be correlated over large spatial scales. Modulating the spatial coherence of the chaotic fluctuations by the spatial pattern of the external input provides a robust mechanism for feature segmentation and binding, which cannot be accomplished by networks of oscillators with local noise. This is demonstrated by an investigation of synchronized chaos in a network model of bursting neurons responding to an inhomogeneous stimulus.
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页码：718 / 721
页数：4
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