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Silicon brains: whither neuromimetic computer architectures

Vidal, J.J.

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Título:
Silicon brains: whither neuromimetic computer architectures
Autor: Vidal, J.J.
Assuntos: ARCHITECTURE ; ARTIFICIAL INTELLIGENCE ; BODY ; BRAIN ; CENTRAL NERVOUS SYSTEM ; COMPUTERS ; ELECTRONIC CIRCUITS ; GENERAL AND MISCELLANEOUS//MATHEMATICS, COMPUTING, AND INFORMATION SCIENCE ; INTEGRATED CIRCUITS ; LEARNING ; MICROELECTRONIC CIRCUITS ; NERVOUS SYSTEM ; ORGANS ; PARALLEL PROCESSING ; PROGRAMMING 990200 -- Mathematics & Computers
Notas: None
Descrição: It is suggested that parallel, connectionist processors of neuromimetic inspiration are viable machine forms. Successful management of the functional and testing complexity of future VLSI systems will depend on a rigorous modularization of design coupled with the integration of local learning (hence neuromimetic) mechanisms into the hardware. Universal connection logic modules, which are VLSI circuits developed at UCLA to experiment with the neuromimetic approach by creating dynamically reconfigurable learning networks, are discussed. 27 references.
Editor: United States: IEEE Computer Society Press,Silver Spring, MD
Data de criação/publicação: 1983
Idioma: Inglês

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