A Geometrical Approach to Research into Signal Recognition in Visual Systems of Humans and Animals
Abstract
In the paper an attempt is made to justify the importance of geometrical language (especially metric space models) for the description of visual perception processing. The tradition to use geometry for the description of psychophysiological processes goes back to a Newtonian color circle. At present there are many examples of such models, as well as of examples from other areas of mathematics. However, we want to justify a position, that geometrical language is not simply one of formal languages used for the description of visual perception phenomena. We'll try to represent it as the approach, which includes both the formal description of psychological phenomena and neurophysiological mechanisms, as well as experimental techniques of research into these phenomena and mechanisms.
Themes: Psychophysiology
PDF: http://psychologyinrussia.com/volumes/pdf/2010/16_2010_izmailov.pdf
Pages: 301-332
DOI: 10.11621/pir.2010.0016
Keywords: vector psychophysiology, categoriality of perception, perception of form and color, large (suprathreshold) interstimuli differences, multidimensional scaling, geometrical modeling of subjective perceptual spaces, spherical model of visual perception, neural modules (ensembles)
To cite this article: Izmailov Ch.A., Chernorizov A.M. (2010). A Geometrical Approach to Research into Signal Recognition in Visual Systems of Humans and Animals. Psychology in Russia: State of the Art, 3, 301-332
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