The significance of the McCulloch‐Pitts formal neural net theory is still nowadays frequently misunderstood at present, and their basic units are wrongly considered as factual models for neurons. As a consequence, the whole original theory and its later addenda are unreasonably criticized for their simplicity. But, as it was proved then and since, the theory is after the modular neurophysiological counterpart of logical machines, so that it actually provides biologically plausible models for automata, Turing Machines etc and not viceversa. In its true context, no theory has surpassed its proposals. In McCulloch and Pitts Memoriam and for the sake of future theoretical research, we stress this important historical point, including also some recent results on the neurophysiological counterparts of modular arbitrary probabilistic automata.
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1 March 1983
Review Article|
March 01 1983
ON THE BIOLOGICAL FORMAL COUNTERPARTS OF LOGICAL MACHINES Available to Purchase
R. MORENO‐DÍAZ;
R. MORENO‐DÍAZ
ETSII and University College of Las Palmas, Canary Islands (Spain)
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F. HERNÁNDEZ GUARCH
F. HERNÁNDEZ GUARCH
ETSII and University College of Las Palmas, Canary Islands (Spain)
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Publisher: Emerald Publishing
Online ISSN: 1758-7883
Print ISSN: 0368-492X
© MCB UP Limited
1983
Kybernetes (1983) 12 (3): 183–185.
Citation
MORENO‐DÍAZ R, HERNÁNDEZ GUARCH F (1983), "ON THE BIOLOGICAL FORMAL COUNTERPARTS OF LOGICAL MACHINES". Kybernetes, Vol. 12 No. 3 pp. 183–185, doi: https://doi.org/10.1108/eb005653
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