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SUMMARY:Computational Neuroscience Journal Club - Edward Turnham (Universi
 ty of Cambridge)
DTSTART:20100209T160000Z
DTEND:20100209T170000Z
UID:TALK23107@talks.cam.ac.uk
CONTACT:Dr Jean-Pascal Pfister
DESCRIPTION:Edward Turnham will present a paper from Sophie Denève:\n\nBa
 yesian Spiking Neurons I: Inference\, Neural Computation (2008)\, v20\, p9
 1-117\n\nhttp://www.gnt.ens.fr/reprints/Deneve2008a.pdf\n\nAbstract\n\nWe 
 show that the dynamics of spiking neurons can be interpreted as a form of 
 Bayesian inference in time. Neurons that optimally integrate evidence abou
 t events in the external world exhibit properties similar to \nleaky integ
 rate-and-fire neurons with spike-dependent adaptation and maximally respo
 nd to fluctuations of their input. Spikes signal the occurrence of new in
 formation—what cannot be predicted from the past \nactivity. As a result
 \, firing statistics are close to Poisson\, albeit providing a determinis
 tic representation of probabilities. 
LOCATION:Cambridge University Engineering Department\, CBL Rm #438 (http:/
 /learning.eng.cam.ac.uk/Public/Directions)
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