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Phys. Rev. Lett. 90, 120602 (2003) [4 pages]

Activity Driven Adaptive Stochastic Resonance

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G. Wenning and K. Obermayer
Department of Electrical Engineering and Computer Science, Technical University of Berlin, Franklinstraße 28/29, 10587 Berlin, Germany

Received 13 February 2002; published 27 March 2003

Cortical neurons in vivo show fluctuations in their membrane potential of the order of several millivolts. Using simple and biophysically realistic models of a single neuron we demonstrate that noise induced fluctuations can be used to adaptively optimize the sensitivity of the neuron’s output to ensembles of subthreshold inputs of different average strengths. Optimal information transfer is achieved by changing the strength of the noise such that the neuron’s average firing rate remains constant. Adaptation is fast, because only crude estimates of the output rate are required at any time.

© 2003 The American Physical Society

URL:
http://link.aps.org/doi/10.1103/PhysRevLett.90.120602
DOI:
10.1103/PhysRevLett.90.120602
PACS:
05.40.–a, 87.10.+e