title: Neural implementation of psychological spaces creator: Duch, Wlodzislaw subject: Behavioral Neuroscience subject: Cognitive Psychology subject: Artificial Intelligence subject: Dynamical Systems subject: Neural Nets subject: Neural Modelling description: 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. date: 1998 type: Conference Paper type: PeerReviewed format: application/pdf identifier: http://cogprints.org/915/1/98pekin.pdf format: text/html identifier: http://cogprints.org/915/5/98pekin.html identifier: Duch, Wlodzislaw (1998) Neural implementation of psychological spaces. [Conference Paper] relation: http://cogprints.org/915/