AMOEBA-BASED NEUROCOMPUTING WITH CHAOTIC DYNAMICS.
This article describes amoeba-based neurocomputing as a deadlock-breaking form of parallel computing used to search for reasonable solutions. The contraction-relaxation rhythmic oscillations of this unicellular organism uses shape deformations as an integrated computational capacity. The article dis...
| Published in: | Communications of the ACM Vol. 50; no. 9; pp. 69 - 73 |
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| Main Authors: | , , |
| Format: | Article |
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Association for Computing Machinery
Sep2007
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| Subjects: | |
| Online Access: | View this record in EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=hlh&AN=26899795&site=ehost-live header: @attributes: shortDbName: hlh uiTerm: 26899795 longDbName: Humanities International Complete uiTag: AN controlInfo: bkinfo: jinfo: jid: 00010782 ACM jtl: Communications of the ACM issn: 00010782 maglogo: N pubinfo: dt: Sep2007 vid: 50 iid: 9 pid: 68 pub: Association for Computing Machinery artinfo: ui: 26899795 10.1145/1284621.1284651 ppf: 69 ppct: 4 formats: tig: atl: AMOEBA-BASED NEUROCOMPUTING WITH CHAOTIC DYNAMICS. aug: au: Aono, Masashi Hara, Masahiko Aihara, Kazuyuki affil: Researcher, Local Spatio-Temporal Functions Lab, RIKEN, Wako, Japan. Team Leader, Local Spatio-Temporal Functions Lab, RIKEN, Wako, Japan. Professor, Institute of Industrial Science, University of Tokyo, Japan. su: Fluctuations (Physics) Parallel computers Amoeba Artificial neural networks Postural balance Neural computers Oscillations Evolutionary computation sug: subj: Fluctuations (Physics) Parallel computers Amoeba Artificial neural networks Postural balance Neural computers Oscillations Evolutionary computation ab: This article describes amoeba-based neurocomputing as a deadlock-breaking form of parallel computing used to search for reasonable solutions. The contraction-relaxation rhythmic oscillations of this unicellular organism uses shape deformations as an integrated computational capacity. The article discusses experiments in which a neural network is modeled on the amoeba's photoavoidance-based shape deformation under optical feedback control. This system is the first non-silicon based implementation of chaotic neural computing. The capability of spontaneously escaping from equilibrium and stability is essential for our biologically inspired computing, and amoeba chaotic dynamics achieve that. pubtype: Periodical doctype: Article src: R language: English refInfo: copyright: @attributes: flag: Y dt: @attributes: year: 2007 holdings: @attributes: islocal: N |
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