Connectionism and an inescapable defect.

H Stowell

doi:10.3109/00207458908987445

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Connectionism and an inescapable defect.

H Stowell

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Abstract

Linear connectionist models of neurocomputing show how input patterns may be recognized, stored, compared, and recalled for output in serial-parallel, quasi-Hebbian networks. This aids the design of hardware and software for better robotics, while offering useful insights to neuroscientists studying sensorimotor systems, but connectivity via quasi-Hebbian nodes and back-propagation layers alone cannot show us how vertebrate cerebellum, allocortex, and neocortex work.

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Animals Brain Models, Neurological Nerve Net Nervous System Physiological Phenomena Journal Article Research Support, Non-U.S. Gov't

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H Stowell. 1989. Connectionism and an inescapable defect.. https://doi.org/10.3109/00207458908987445

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