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dc.contributor.author
Blättler, Florian
dc.contributor.author
Hahnloser, Richard H.R.
dc.date.accessioned
2018-11-01T12:10:12Z
dc.date.available
2017-06-14T20:01:18Z
dc.date.available
2018-11-01T12:10:12Z
dc.date.issued
2011-10-13
dc.identifier.issn
1932-6203
dc.identifier.other
10.1371/journal.pone.0025506
en_US
dc.identifier.uri
http://hdl.handle.net/20.500.11850/160817
dc.identifier.doi
10.3929/ethz-b-000160817
dc.description.abstract
To what extent are sensory responses in the brain compatible with first-order principles? The efficient coding hypothesis projects that neurons use as few spikes as possible to faithfully represent natural stimuli. However, many sparsely firing neurons in higher brain areas seem to violate this hypothesis in that they respond more to familiar stimuli than to nonfamiliar stimuli. We reconcile this discrepancy by showing that efficient sensory responses give rise to stimulus selectivity that depends on the stimulus-independent firing threshold and the balance between excitatory and inhibitory inputs. We construct a cost function that enforces minimal firing rates in model neurons by linearly punishing suprathreshold synaptic currents. By contrast, subthreshold currents are punished quadratically, which allows us to optimally reconstruct sensory inputs from elicited responses. We train synaptic currents on many renditions of a particular bird's own song (BOS) and few renditions of conspecific birds' songs (CONs). During training, model neurons develop a response selectivity with complex dependence on the firing threshold. At low thresholds, they fire densely and prefer CON and the reverse BOS (REV) over BOS. However, at high thresholds or when hyperpolarized, they fire sparsely and prefer BOS over REV and over CON. Based on this selectivity reversal, our model suggests that preference for a highly familiar stimulus corresponds to a high-threshold or strong-inhibition regime of an efficient coding strategy. Our findings apply to songbird mirror neurons, and in general, they suggest that the brain may be endowed with simple mechanisms to rapidly change selectivity of neural responses to focus sensory processing on either familiar or nonfamiliar stimuli. In summary, we find support for the efficient coding hypothesis and provide new insights into the interplay between the sparsity and selectivity of neural responses.
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
An Efficient Coding Hypothesis Links Sparsity and Selectivity of Neural Responses
en_US
dc.type
Journal Article
dc.rights.license
Creative Commons Attribution 3.0 Unported
ethz.journal.title
PLoS ONE
ethz.journal.volume
6
en_US
ethz.journal.issue
10
en_US
ethz.journal.abbreviated
PLoS ONE
ethz.pages.start
e25506
en_US
ethz.size
17 p.
en_US
ethz.version.deposit
publishedVersion
en_US
ethz.identifier.wos
ethz.identifier.nebis
006206116
ethz.publication.place
s.l.
en_US
ethz.publication.status
published
en_US
ethz.leitzahl
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02140 - Dep. Inf.technologie und Elektrotechnik / Dep. of Inform.Technol. Electrical Eng.::02533 - Institut für Neuroinformatik / Institute of Neuroinformatics::03774 - Hahnloser, Richard H.R. / Hahnloser, Richard H.R.
en_US
ethz.leitzahl.certified
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02140 - Dep. Inf.technologie und Elektrotechnik / Dep. of Inform.Technol. Electrical Eng.::02533 - Institut für Neuroinformatik / Institute of Neuroinformatics::03774 - Hahnloser, Richard H.R. / Hahnloser, Richard H.R.
ethz.date.deposited
2017-06-14T20:07:09Z
ethz.source
ECIT
ethz.identifier.importid
imp59364e80f2d6892774
ethz.ecitpid
pub:66102
ethz.eth
yes
en_US
ethz.availability
Open access
en_US
ethz.rosetta.installDate
2017-07-17T12:05:31Z
ethz.rosetta.lastUpdated
2018-11-01T12:10:24Z
ethz.rosetta.versionExported
true
ethz.COinS
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