Activity-dependent stochastic resonance in recurrent neuronal networks
Neurons and Cognition
2009-11-13 v1 Populations and Evolution
Abstract
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.
Cite
@article{arxiv.0806.1685,
title = {Activity-dependent stochastic resonance in recurrent neuronal networks},
author = {Vladislav Volman and Herbert Levine},
journal= {arXiv preprint arXiv:0806.1685},
year = {2009}
}
Comments
4 pages, 4 figures, published in Physical Review E