Linked Life Data

18336082

Source:http://linkedlifedata.com/resource/pubmed/id/18336082

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
8
pubmed:dateCreated
2008-6-6
pubmed:abstractText
In a biologically plausible but computationally simplified integrate-and-fire neuronal population, it is observed that transient synchronized spikes can occur repeatedly. However, groups with different properties exhibit different periods and different patterns of synchrony. We include learning mechanisms in these models. The effects of spike-timing-dependent plasticity have been known to play a distinct role in information processing in the central nervous system for several years. In this letter, neuronal models with dynamical synapses are constructed, and we analyze the effect of STDP on collective network behavior, such as oscillatory activity, weight distribution, and spike timing precision. We comment on how information is encoded by the neuronal signaling, when synchrony groups may appear, and what could contribute to the uncertainty in decision making.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:status
MEDLINE
pubmed:month
Aug
pubmed:issn
0899-7667
pubmed:author
pubmed:issnType
Print
pubmed:volume
20
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
2037-69
pubmed:meshHeading
pubmed:year
2008
pubmed:articleTitle
Oscillations and spiking pairs: behavior of a neuronal model with STDP learning.
pubmed:affiliation
Department of Electrical and Electronic Engineering, Imperial College London, London SW7 2BT, UK. victorshenshx@gmail.com
pubmed:publicationType
Journal Article