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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. \n\n"
altloc: []
chapter: ~
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confdates: 'October 27-30,1998'
conference: International Conference on Neural Networks and Brain
confloc: 'Beijing, China'
contact_email: ~
creators_id: []
creators_name:
- family: Duch
given: Wlodzislaw
honourific: ''
lineage: ''
date: 1998
date_type: published
datestamp: 2000-08-02
department: ~
dir: disk0/00/00/09/15
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eprint_status: archive
eprintid: 915
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full_text_status: public
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ispublished: pub
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item_issues_count: 0
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keywords: 'Psychological spaces, mental representations, Neural models, categorization in psychology, associative memory, mind models. '
lastmod: 2011-03-11 08:54:22
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note: ~
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pagerange: 32-35
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refereed: TRUE
referencetext: |
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relation_type: []
relation_uri: []
reportno: ~
rev_number: 14
series: ~
source: ~
status_changed: 2007-09-12 16:35:28
subjects:
- behav-neuro-sci
- cog-psy
- comp-sci-art-intel
- comp-sci-mach-dynam-sys
- comp-sci-neural-nets
- neuro-mod
succeeds: ~
suggestions: ~
sword_depositor: ~
sword_slug: ~
thesistype: ~
title: Neural implementation of psychological spaces
type: confpaper
userid: 568
volume: ~