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SUMMARY:Computational Neuroscience Journal Club - Dr Jean-Pascal Pfister (
 Cambridge University\, UK)
DTSTART:20100420T150000Z
DTEND:20100420T160000Z
UID:TALK24430@talks.cam.ac.uk
CONTACT:Dr Jean-Pascal Pfister
DESCRIPTION:Jean-Pascal Pfister will present a paper from\n\nClaudia Clopa
 th\, Lars Büsing\, Eleni Vasilaki and Wulfram Gerstner\, Nature Neuroscie
 nce\, 2010:\n\n\nConnectivity reflects coding: a model of voltage-based \n
 STDP with homeostasis \n\n"http://www.nature.com/neuro/journal/v13/n3/abs/
 nn.2479.html":http://www.nature.com/neuro/journal/v13/n3/abs/nn.2479.html\
 n\n\nAbstract:\n\nElectrophysiological connectivity patterns in cortex oft
 en have a few strong connections\, which are sometimes bidirectional\, amo
 ng a lot of weak connections. To explain these connectivity patterns\, we 
 created a model of spike timing–dependent plasticity \n(STDP) in which s
 ynaptic changes depend on presynaptic spike arrival and the postsynaptic m
 embrane potential\, filtered with two different time constants. Our model 
 describes several nonlinear effects that are observed in STDP experiments\
 , as well as the voltage dependence of plasticity. We found that\, in a si
 mulated recurrent network of spiking neurons\, our plasticity rule led \nn
 ot only to development of localized receptive fields but also to connectiv
 ity patterns that reflect the neural code. For temporal coding procedures 
 with spatio-temporal input correlations\, strong connections were predomin
 antly unidirectional\, whereas they were bidirectional under rate-coded in
 put with spatial correlations only. Thus\, variable connectivity patterns 
 in the brain could reflect different coding principles across brain areas\
 ; moreover\, our simulations suggested that plasticity is fast.
LOCATION:Cambridge University Engineering Department\, CBL Rm #438 (http:/
 /learning.eng.cam.ac.uk/Public/Directions)
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