Statistical Properties of Neural Networks : Condensed Matter and Statistical Physics

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概要

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• Some characteristics of a large population of heterogeneously connecte neurons are investigated by a model system composed of McCulloch-Pitts elements. Gross properties are controlled by a few statistical parameters and they show bifurcations. In a synchronous processing algorithm, we find distinct regimes where the system is either monostable, bistable, periodic, or chaotic. In the cyclic processing algorithm which is a kind of asynchronous one, the last two regimes are fused into a multibasin regime where the system possesses a number of basins of fixed points and chaotic orbits. The number of fixed points is estimated in some regions.

• 理論物理学刊行会の論文
• 1986-06-25

著者

• Shinomoto Shigeru

  Research Institute For Fundamental Physics Kyoto University

関連論文

• Random Frequency Modulation of a Forced Nonlinear Oscillator : Condensed Matter and Statistical Physics
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• Statistical Properties of Neural Networks : Condensed Matter and Statistical Physics
• Cooperative Phenomena in Two-Dimensional Active Rotator Systems : Condensed Matter and Statistical Physics

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