Linked Life Data

21405604

Source:http://linkedlifedata.com/resource/pubmed/id/21405604

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
8
pubmed:dateCreated
2011-3-16
pubmed:abstractText
Recent studies of cortical neurons driven by fluctuating currents revealed cutoff frequencies for action potential encoding of several hundred Hz. Theoretical studies of biophysical neuron models have predicted a much lower cutoff frequency of the order of average firing rate or the inverse membrane time constant. The biophysical origin of the observed high cutoff frequencies is thus not well understood. Here we introduce a neuron model with dynamical action potential generation, in which the linear response can be analytically calculated for uncorrelated synaptic noise. We find that the cutoff frequencies increase to very large values when the time scale of action potential initiation becomes short.
pubmed:commentsCorrections
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:status
MEDLINE
pubmed:month
Feb
pubmed:issn
1079-7114
pubmed:author
pubmed:copyrightInfo
© 2011 American Physical Society
pubmed:issnType
Electronic
pubmed:day
25
pubmed:volume
106
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
088102
pubmed:meshHeading
pubmed:year
2011
pubmed:articleTitle
Spike onset dynamics and response speed in neuronal populations.
pubmed:affiliation
Max Planck Institute for Dynamics and Self-Organization, Faculty of Physics, Georg-August-University Göttingen, Bernstein Center for Computational Neuroscience, Göttingen, 37073 Germany.
pubmed:publicationType
Journal Article, Research Support, Non-U.S. Gov't