This title appears in the Scientific Report : 2013 

Self-organized noise resistance of oscillatory neural networks with spike timing-dependent plasticity.
Popovych, Oleksandr (Corresponding author)
Yanchuk, Serhiy / Tass, Peter A.
Gehirn & Verhalten; INM-7
Scientific reports, 3 (2013) S. 2926
London Nature Publishing Group 2013
24113385
10.1038/srep02926
Journal Article
Pathophysiological Mechanisms of Neurological and Psychiatric Diseases
OpenAccess
Please use the identifier: http://hdl.handle.net/2128/5462 in citations.
Please use the identifier: http://dx.doi.org/10.1038/srep02926 in citations.
Intuitively one might expect independent noise to be a powerful tool for desynchronizing a population of synchronized neurons. We here show that, intriguingly, for oscillatory neural populations with adaptive synaptic weights governed by spike timing-dependent plasticity (STDP) the opposite is true. We found that the mean synaptic coupling in such systems increases dynamically in response to the increase of the noise intensity, and there is an optimal noise level, where the amount of synaptic coupling gets maximal in a resonance-like manner as found for the stochastic or coherence resonances, although the mechanism in our case is different. This constitutes a noise-induced self-organization of the synaptic connectivity, which effectively counteracts the desynchronizing impact of independent noise over a wide range of the noise intensity. Given the attempts to counteract neural synchrony underlying tinnitus with noisers and maskers, our results may be of clinical relevance.