Amoeba-based neurocomputing with chaotic dynamics

Masashi Aono, Masahiko Hara, Kazuyuki Aihara

研究成果: Review article査読

49 被引用数 (Scopus)

抄録

An amoeba that freely change its planar shape inside the stellar carrier structure on an agar plate was employed for neuralcomputing with chaotic dynamics. A neural network model with state transition represented by the amoeba's photoaviodance-based shape deformation under optical feedback control was also implemented. Optical feedback automatically is found to update illumination according to recurrent neural network dynamics while each neuron is activated or inactivated when the weighted sum of inputs from other neurons exceed a certain threshold. The symmetry-broken oscillation patterns of amoeba imply that the system operates as a logical circuit with computational university by properly altering the number of neurons, thresholds, and weights. Collectively interacting amoeba proteins are found to generate chaotic dynamics capable of amplifying intrinsic microscopic fluctuations to destabilize neural macroscopic conditions.

本文言語English
ページ(範囲)69-72
ページ数4
ジャーナルCommunications of the ACM
50
9
DOI
出版ステータスPublished - 2007 9月 1
外部発表はい

ASJC Scopus subject areas

  • コンピュータ サイエンス(全般)

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