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Platonic model of mind as an approximation to neurodynamics
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Hierarchy of approximations involved in simplification of microscopic theories, from sub-cellural to the whole brain level, is presented. A new approximation to neural dynamics is described, leading to a Platonic-like model of mind based on psychological spaces. Objects and events in these spaces correspond to quasi-stable states of brain dynamics and may be interpreted from psychological point of view. Platonic model bridges the gap between neurosciences and psychological sciences. Static and dynamic versions of this model are outlined and Feature Space Mapping, a neurofuzzy realization of the static version of Platonic model, described. Categorization experiments with human subjects are analyzed from the neurodynamical and Platonic model points of view.
1998
Platonic model of mind as an approximation to neurodynamics
Computational Neuroscience
Artificial Intelligence
Neural Nets
Neuropsychology
Springer, Singapore
Kasabov
N.
N. Kasabov
Amari
S-i.
S-i. Amari
Duch
Wlodzislaw
Wlodzislaw Duch
Brain-like computing and intelligent information systems