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Emergence of synchronous oscillations in neural networks excited by noise
Centro de Astrobiología, CSIC/INTA, NASA Astrobiology Institute.ORCID iD: 0000-0002-4492-9650
Departamento de Matemáatica Aplicada, Facultad de Inform´atica, Universidad Complutense de Madrid.
2003 (English)In: Physica D: Non-linear phenomena, ISSN 0167-2789, E-ISSN 1872-8022, Vol. 179, no 1-2, 105-114 p.Article in journal (Refereed) Published
Abstract [en]

The presence of noise in nonlinear dynamical systems can play a constructive role, increasing the degree of order and coherence or evoking improvements in the performance of the system. An example of this positive influence in a biological system is the impulse transmission in neurons and the synchronization of a neural network. Integrating numerically the Fokker-Planck (FP) equation we show a self-induced synchronized oscillation. Such an oscillatory state appears in a neural network coupled with a feedback term, when this system is excited by noise and the noise strength is within a certain range

Place, publisher, year, edition, pages
Elsevier, 2003. Vol. 179, no 1-2, 105-114 p.
National Category
Aerospace Engineering
Research subject
Atmospheric science
Identifiers
URN: urn:nbn:se:ltu:diva-67025DOI: 10.1016/S0167-2789(03)00007-1Scopus ID: 2-s2.0-0037402692OAI: oai:DiVA.org:ltu-67025DiVA: diva2:1166477
Available from: 2017-12-15 Created: 2017-12-15 Last updated: 2017-12-15Bibliographically approved

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Zorzano, María Paz
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