Correlation detection and resonance in neural systems with distributed
Michael Rudolph and Alain Destexhe
Physical Review Letters 86: 3662-3665, 2001.
We investigated the resonance behavior in model neurons receiving a large number
of random synaptic inputs, whose distributed nature permits one to introduce
correlations between them and investigate its effect on cellular responsiveness.
A change in the strength of this background led to enhanced responsiveness,
consistent with stochastic resonance. Altering the correlation revealed a type of
resonance behavior in which the neuron is sensitive to statistical properties
rather than the strength of the noise. Remarkably, the neuron could detect weak
correlations among the distributed inputs within millisecond time scales.
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