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Computational physics of the mind

Duch, Wlodzislaw (1996) Computational physics of the mind. [Journal (Paginated)]

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Abstract

In the XIX century and earlier such physicists as Newton, Mayer, Hooke, Helmholtz and Mach were actively engaged in the research on psychophysics, trying to relate psychological sensations to intensities of physical stimuli. Computational physics allows to simulate complex neural processes giving a chance to answer not only the original psychophysical questions but also to create models of mind. In this paper several approaches relevant to modeling of mind are outlined. Since direct modeling of the brain functions is rather limited due to the complexity of such models a number of approximations is introduced. The path from the brain, or computational neurosciences, to the mind, or cognitive sciences, is sketched, with emphasis on higher cognitive functions such as memory and consciousness. No fundamental problems in understanding of the mind seem to arise. From computational point of view realistic models require massively parallel architectures.

Item Type:Journal (Paginated)
Keywords:psychophysics, mind models, neural networks, computational neuroscience, memory, consciousness
Subjects:Neuroscience > Behavioral Neuroscience
Computer Science > Artificial Intelligence
Computer Science > Dynamical Systems
Computer Science > Neural Nets
ID Code:914
Deposited By:Duch, Prof Wlodzislaw
Deposited On:02 Aug 2000
Last Modified:11 Mar 2011 08:54

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