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Neural implementation of psychological spaces

By Wlodzislaw Duch

Abstract

Psychological spaces give natural framework for construction of mental representations. Neural model of psychological spaces provides a link between neuroscience and psychology. Categorization performed in high-dimensional spaces by dynamical associative memory models is approximated with low-dimensional feedforward neural models calculating probability density functions in psychological spaces. Applications to the human categorization experiments are discussed

Topics: Behavioral Neuroscience, Cognitive Psychology, Artificial Intelligence, Dynamical Systems, Neural Nets, Neural Modelling
Year: 1998
OAI identifier: oai:cogprints.org:915
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