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- G. Wenning and
K. Obermayer. Activity Driven Adaptive Stochastic Resonance.
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Phys. Rev. Lett., 90:120602, 2003.
(FTP Gzipped PostScript, 4 pages, 68 kb)
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
neurons 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 neurons average firing rate remains constant.
Adaptation is fast, because only crude estimates of the output rate are
required at any time.
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