Show simple item record

dc.contributor.author
Wyss, Reto
dc.contributor.author
König, Peter
dc.contributor.author
Verschure, Paul F.M.J.
dc.date.accessioned
2019-06-05T16:20:56Z
dc.date.available
2017-06-09T11:46:15Z
dc.date.available
2019-06-05T16:20:56Z
dc.date.issued
2006-04-18
dc.identifier.issn
1544-9173
dc.identifier.issn
1545-7885
dc.identifier.other
10.1371/journal.pbio.0040120
en_US
dc.identifier.uri
http://hdl.handle.net/20.500.11850/36903
dc.identifier.doi
10.3929/ethz-b-000036903
dc.description.abstract
The cerebral cortex is a remarkably homogeneous structure suggesting a rather generic computational machinery. Indeed, under a variety of conditions, functions attributed to specialized areas can be supported by other regions. However, a host of studies have laid out an ever more detailed map of functional cortical areas. This leaves us with the puzzle of whether different cortical areas are intrinsically specialized, or whether they differ mostly by their position in the processing hierarchy and their inputs but apply the same computational principles. Here we show that the computational principle of optimal stability of sensory representations combined with local memory gives rise to a hierarchy of processing stages resembling the ventral visual pathway when it is exposed to continuous natural stimuli. Early processing stages show receptive fields similar to those observed in the primary visual cortex. Subsequent stages are selective for increasingly complex configurations of local features, as observed in higher visual areas. The last stage of the model displays place fields as observed in entorhinal cortex and hippocampus. The results suggest that functionally heterogeneous cortical areas can be generated by only a few computational principles and highlight the importance of the variability of the input signals in forming functional specialization.
en_US
dc.format
application/pdf
en_US
dc.language.iso
en
en_US
dc.publisher
Public Library of Science
en_US
dc.rights.uri
http://creativecommons.org/licenses/by/2.0/
dc.title
A Model of the Ventral Visual System Based on Temporal Stability and Local Memory
en_US
dc.type
Journal Article
dc.rights.license
Creative Commons Attribution 2.0 Generic
ethz.journal.title
PLoS Biology
ethz.journal.volume
4
en_US
ethz.journal.issue
5
en_US
ethz.journal.abbreviated
PLoS biol.
ethz.pages.start
e120 / 0836
en_US
ethz.pages.end
843
en_US
ethz.version.deposit
publishedVersion
en_US
ethz.identifier.wos
ethz.identifier.nebis
004606893
ethz.publication.place
Lawrence, KS
en_US
ethz.publication.status
published
en_US
ethz.date.deposited
2017-06-09T11:46:24Z
ethz.source
ECIT
ethz.identifier.importid
imp59364e2f4b56420635
ethz.ecitpid
pub:58908
ethz.eth
yes
en_US
ethz.availability
Open access
en_US
ethz.rosetta.installDate
2017-07-12T10:43:19Z
ethz.rosetta.lastUpdated
2019-06-05T16:21:06Z
ethz.rosetta.versionExported
true
ethz.COinS
ctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.atitle=A%20Model%20of%20the%20Ventral%20Visual%20System%20Based%20on%20Temporal%20Stability%20and%20Local%20Memory&rft.jtitle=PLoS%20Biology&rft.date=2006-04-18&rft.volume=4&rft.issue=5&rft.spage=e120%20/%200836&rft.epage=843&rft.issn=1544-9173&1545-7885&rft.au=Wyss,%20Reto&K%C3%B6nig,%20Peter&Verschure,%20Paul%20F.M.J.&rft.genre=article&
 Search via SFX

Files in this item

Thumbnail

Publication type

Show simple item record