Computational Neuroscience Journal Club
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If you have a question about this talk, please contact Dr Jean-Pascal Pfister.
Edward Turnham will present a paper from Sophie Denève:
Bayesian Spiking Neurons I: Inference, Neural Computation (2008), v20, p91-117
http://www.gnt.ens.fr/reprints/Deneve2008a.pdf
Abstract
We show that the dynamics of spiking neurons can be interpreted as a form of Bayesian inference in time. Neurons that optimally integrate evidence about events in the external world exhibit properties similar to
leaky integrate-and-fire neurons with spike-dependent adaptation and maximally respond to fluctuations of their input. Spikes signal the occurrence of new information—what cannot be predicted from the past
activity. As a result, firing statistics are close to Poisson, albeit providing a deterministic representation of probabilities.
This talk is part of the Computational Neuroscience series.
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Tuesday 09 February 2010, 16:00-17:00