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...
| Publicado en: | Communications of the ACM Vol. 50; no. 9; pp. 69 - 73 |
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| Autores principales: | , , |
| Formato: | Artículo |
| Publicado: |
Association for Computing Machinery
Sep2007
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| Materias: | |
| Acceso en línea: | Ver este registro en EBSCOhost |
| Sumario: | 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. |
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