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Multiple and variant time scales in dynamic information processing

Published online by Cambridge University Press:  15 November 2002

Hubert R. Dinse
Affiliation:
Institute for Neuroinformatics, Theoretical Biology, Group Experimental Neurobiology, Ruhr-University Bochum, ND04, D-44780 Bochum, Germany hubert.dinse@neuroinformatik.ruhr-uni-bochum.de www.neuroinformatik.ruhr-uni-bochum.de/ini/PROJECTS/ENB/enb.html
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Abstract

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Single cell receptive field dynamics characterized by highly complicated spatio-temporal activity distributions observable during sensory information processing transforms into much simpler spatio-temporal activity pattern at a population level, indicating a qualitative transformational step of time-variant processing from microscopic to mesoscopic levels. As these dynamics are subject to significant modifications during learning, dynamic information processing is in a permanent state of use-dependent fluctuations.

Information

Type
Brief Report
Copyright
© 2001 Cambridge University Press