PASCAL - Pattern Analysis, Statistical Modelling and Computational Learning

Dynamic Regimes that are likely to support Probabilistic Inference in Distributed Networks of Spiking Neurons
Bernhard Nessler and Wolfgang Maass
In: Multi-Scale Complex Dynamics in the Brain Workshop, Cosyne 2010, 25 Feb - 2 Mar 2010, Salt Lake City, Utah.

Abstract

A new model for computation in networks of spiking neurons has recently emerged: spike-based Expectation Maximization (see http://www.igi.tugraz.at/maass/psfiles/191.pdf ). I will address in this talk the question which dynamical regimes would support distributed computations of this type in multiple brain areas. In addition I will discuss predictions of this model regarding the statistical structure of network activity.

EPrint Type:Conference or Workshop Item (Invited Talk)
Project Keyword:Project Keyword UNSPECIFIED
Subjects:Computational, Information-Theoretic Learning with Statistics
Theory & Algorithms
ID Code:7541
Deposited By:Bernhard Nessler
Deposited On:17 March 2011