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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KTH, Superseded Departments, Numerical Analysis and Computer Science, NADA.
KTH, Superseded Departments, Numerical Analysis and Computer Science, NADA.
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 (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.
Keyword [en]
associative memory, neural-networks, cortical surface, mammalian brain, cerebral-cortex, striate cortex, macaque monkey, visual-cortex, neurons, neocortex
National Category
Computer Science
URN: urn:nbn:se:kth:diva-43968ISI: 000225262400006ScopusID: 2-s2.0-35048858918ISBN: 3-540-23339-3OAI: diva2:450928
1st International Workshop on Biologically Inspired Approaches to Advanced Information Technology. EPFL, Lausanne, SWITZERLAND. JAN 29-30, 2004

QC 20111024

QC 20150921

Available from: 2011-10-24 Created: 2011-10-19 Last updated: 2015-09-21Bibliographically approved

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