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Towards cortex sized attractor ANN
KTH, Superseded Departments, Numerical Analysis and Computer Science, NADA.
KTH, Superseded Departments, Numerical Analysis and Computer Science, NADA.ORCID iD: 0000-0002-2358-7815
2004 (English)In: BIOLOGICALLY INSPIRED APPROACHES TO ADVANCED INFORMATION TECHNOLOGY / [ed] Ijspeert, AJ; Murata, M; Wakamiya, N, BERLIN: SPRINGER , 2004, Vol. 3141, 63-79 p.Conference paper, Published paper (Refereed)
Abstract [en]

We review the structure of cerebral cortex to find out the number of neurons and synapses and its modular structure. The organization of these neurons is then studied and mapped onto the framework of an artificial neural network (ANN). The computational requirements to run this ANN model are then estimated. The conclusion is that it is possible to simulate the mouse cortex today on a cluster computer but not in real-time.

Place, publisher, year, edition, pages
BERLIN: SPRINGER , 2004. Vol. 3141, 63-79 p.
Series
LECTURE NOTES IN COMPUTER SCIENCE, ISSN 0302-9743 ; 3141
Keyword [en]
associative memory, neural-networks, cortical surface, mammalian brain, cerebral-cortex, striate cortex, macaque monkey, visual-cortex, neurons, neocortex
National Category
Computer Sciences
Identifiers
URN: urn:nbn:se:kth:diva-43968ISI: 000225262400006Scopus ID: 2-s2.0-35048858918ISBN: 3-540-23339-3 (print)OAI: oai:DiVA.org:kth-43968DiVA: diva2:450928
Conference
1st International Workshop on Biologically Inspired Approaches to Advanced Information Technology. EPFL, Lausanne, SWITZERLAND. JAN 29-30, 2004
Note

QC 20111024

QC 20150921

Available from: 2011-10-24 Created: 2011-10-19 Last updated: 2018-01-12Bibliographically approved

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CiteExportLink to record
Permanent link

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Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf