Activity-dependent stochastic resonance in recurrent neuronal networks

Biology – Quantitative Biology – Neurons and Cognition

Scientific paper

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4 pages, 4 figures, published in Physical Review E

Scientific paper

10.1103/PhysRevE.77.060903

We use a biophysical model of a local neuronal circuit to study the implications of synaptic plasticity for the detection of weak sensory stimuli. Networks with fast plastic coupling show behavior consistent with stochastic resonance. Addition of an additional slow coupling that accounts for the asynchronous release of neurotransmitter results in qualitatively different properties of signal detection, and also leads to the appearance of transient post-stimulus bistability. Our results suggest testable hypothesis with regard to the self-organization and dynamics of local neuronal circuits.

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