Show simple item record

dc.contributor.author
Lengler, Johannes
dc.contributor.author
Jug, Florian
dc.contributor.author
Steger, Angelika
dc.date.accessioned
2018-10-25T09:15:20Z
dc.date.available
2017-06-11T01:22:50Z
dc.date.available
2018-10-25T09:15:20Z
dc.date.issued
2013-12-04
dc.identifier.issn
1932-6203
dc.identifier.other
10.1371/journal.pone.0080694
en_US
dc.identifier.uri
http://hdl.handle.net/20.500.11850/76135
dc.identifier.doi
10.3929/ethz-b-000076135
dc.description.abstract
For every engineer it goes without saying: in order to build a reliable system we need components that consistently behave precisely as they should. It is also well known that neurons, the building blocks of brains, do not satisfy this constraint. Even neurons of the same type come with huge variances in their properties and these properties also vary over time. Synapses, the connections between neurons, are highly unreliable in forwarding signals. In this paper we argue that both these fact add variance to neuronal processes, and that this variance is not a handicap of neural systems, but that instead predictable and reliable functional behavior of neural systems depends crucially on this variability. In particular, we show that higher variance allows a recurrently connected neural population to react more sensitively to incoming signals, and processes them faster and more energy efficient. This, for example, challenges the general assumption that the intrinsic variability of neurons in the brain is a defect that has to be overcome by synaptic plasticity in the process of learning.
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/3.0/
dc.title
Reliable Neuronal Systems: The Importance of Heterogeneity
en_US
dc.type
Journal Article
dc.rights.license
Creative Commons Attribution 3.0 Unported
ethz.journal.title
PLoS ONE
ethz.journal.volume
8
en_US
ethz.journal.issue
12
en_US
ethz.journal.abbreviated
PLoS ONE
ethz.pages.start
e80694
en_US
ethz.size
10 p.
en_US
ethz.version.deposit
publishedVersion
en_US
ethz.identifier.wos
ethz.identifier.nebis
006206116
ethz.publication.place
Lawrence, KS, USA
en_US
ethz.publication.status
published
en_US
ethz.leitzahl
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02150 - Dep. Informatik / Dep. of Computer Science::02643 - Institut für Theoretische Informatik / Inst. Theoretical Computer Science::03672 - Steger, Angelika / Steger, Angelika
en_US
ethz.leitzahl.certified
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02150 - Dep. Informatik / Dep. of Computer Science::02643 - Institut für Theoretische Informatik / Inst. Theoretical Computer Science::03672 - Steger, Angelika / Steger, Angelika
ethz.date.deposited
2017-06-11T01:25:49Z
ethz.source
ECIT
ethz.identifier.importid
imp5936514fdc17719596
ethz.ecitpid
pub:120391
ethz.eth
yes
en_US
ethz.availability
Open access
en_US
ethz.rosetta.installDate
2017-07-18T12:02:47Z
ethz.rosetta.lastUpdated
2021-02-15T02:17:23Z
ethz.rosetta.versionExported
true
ethz.COinS
ctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.atitle=Reliable%20Neuronal%20Systems:%20The%20Importance%20of%20Heterogeneity&rft.jtitle=PLoS%20ONE&rft.date=2013-12-04&rft.volume=8&rft.issue=12&rft.spage=e80694&rft.issn=1932-6203&rft.au=Lengler,%20Johannes&Jug,%20Florian&Steger,%20Angelika&rft.genre=article&rft_id=info:doi/10.1371/journal.pone.0080694&
 Search print copy at ETH Library

Files in this item

Thumbnail

Publication type

Show simple item record