Universität zu Köln

Popovych, Oleksandr V., Yanchuk, Serhiy ORCID: 0000-0003-1628-9569 and Tass, Peter A. (2013). Self-organized noise resistance of oscillatory neural networks with spike timing-dependent plasticity. Sci Rep, 3. LONDON: NATURE PUBLISHING GROUP. ISSN 2045-2322

Full text not available from this repository.

Abstract

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.

Item Type:	Journal Article
Creators:	Creators Email ORCID ORCID Put Code Popovych, Oleksandr V. UNSPECIFIED UNSPECIFIED UNSPECIFIED Yanchuk, Serhiy UNSPECIFIED orcid.org/0000-0003-1628-9569 UNSPECIFIED Tass, Peter A. UNSPECIFIED UNSPECIFIED UNSPECIFIED
URN:	urn:nbn:de:hbz:38-474075
DOI:	10.1038/srep02926
Journal or Publication Title:	Sci Rep
Volume:	3
Date:	2013
Publisher:	NATURE PUBLISHING GROUP
Place of Publication:	LONDON
ISSN:	2045-2322
Language:	English
Faculty:	Unspecified
Divisions:	Unspecified
Subjects:	no entry
Uncontrolled Keywords:	Keywords Language COORDINATED RESET; SYNAPTIC CONNECTIVITY; STOCHASTIC RESONANCE; COHERENCE RESONANCE; BRAIN-STIMULATION; SYNCHRONY; DYNAMICS; SYSTEMS; MODEL Multiple languages Multidisciplinary Sciences Multiple languages
URI:	http://kups.ub.uni-koeln.de/id/eprint/47407