HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH TABLE OF CONTENTS		QUICK SEARCH:   [advanced] Author: Keyword(s): Year:  Vol:  Page:

This Article Full Text Full Text (PDF) Alert me when this article is cited Alert me if a correction is posted Services Similar articles in this journal Similar articles in PubMed Alert me to new issues of the journal Download to citation manager Citing Articles Citing Articles via HighWire Citing Articles via Google Scholar Google Scholar Articles by Deco, G. Articles by Schürmann, B. Search for Related Content PubMed PubMed Citation Articles by Deco, G. Articles by Schürmann, B.

Spatiotemporal Coding in the Cortex: Information Flow–Based Learning in Spiking Neural Networks

Siemens AG, Corporate Technology, 81739 Munich, Germany

Bernd Schürmann

Siemens AG, Corporate Technology, 81739 Munich, Germany

We introduce a learning paradigm for networks of integrate-and-fire spiking neurons that is based on an information-theoretic criterion. This criterion can be viewed as a first principle that demonstrates the experimentally observed fact that cortical neurons display synchronous firing for some stimuli and not for others. The principle can be regarded as the postulation of a nonparametric reconstruction method as optimization criteria for learning the required functional connectivity that justifies and explains synchronous firing for binding of features as a mechanism for spatiotemporal coding. This can be expressed in an information-theoretic way by maximizing the discrimination ability between different sensory inputs in minimal time.

This article has been cited by other articles:

				A. Buehlmann and G. Deco The Neuronal Basis of Attention: Rate versus Synchronization Modulation J. Neurosci., July 23, 2008; 28(30): 7679 - 7686. [Abstract] [Full Text] [PDF]