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Stochastic synchronization of neurons: the topologicalimpacts

Cross-talk among coupled stochastic Hindmarsh-Rose (HR) neurons is significantly affected by the topology of the neurons organization. If the coupled stochastic HR neurons are arranged in the form of ring topology with odd number of neurons, the neurons are in anti-phase synchronization with homogen...

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Detalles Bibliográficos
Autores principales: Kumar Sharma, Saurabh, Zubbair Malik, Md., Brojen Singh, R.K
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Biomedical Informatics 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6563662/
https://www.ncbi.nlm.nih.gov/pubmed/31223210
http://dx.doi.org/10.6026/97320630014504
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author Kumar Sharma, Saurabh
Zubbair Malik, Md.
Brojen Singh, R.K
author_facet Kumar Sharma, Saurabh
Zubbair Malik, Md.
Brojen Singh, R.K
author_sort Kumar Sharma, Saurabh
collection PubMed
description Cross-talk among coupled stochastic Hindmarsh-Rose (HR) neurons is significantly affected by the topology of the neurons organization. If the coupled stochastic HR neurons are arranged in the form of ring topology with odd number of neurons, the neurons are in anti-phase synchronization with homogeneous distribution of phase ordering of the oscillators. On the other hand, if the coupled HR oscillators are arranged in the ring topology with even number of oscillators, the oscillators are formed into two groups which are anti-phase synchronized, but all the oscillators in each group are in in-phase synchronization.Synchronization of the HR oscillators due to coupling in all topological arrangements is affected by the noise.However, noise can induce optimal coherence of the cross-talked oscillators at a particular value at which signal processing is the most favorable with amplified signal, the phenomenon known as stochastic resonance.
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spelling pubmed-65636622019-06-20 Stochastic synchronization of neurons: the topologicalimpacts Kumar Sharma, Saurabh Zubbair Malik, Md. Brojen Singh, R.K Bioinformation Hypothesis Cross-talk among coupled stochastic Hindmarsh-Rose (HR) neurons is significantly affected by the topology of the neurons organization. If the coupled stochastic HR neurons are arranged in the form of ring topology with odd number of neurons, the neurons are in anti-phase synchronization with homogeneous distribution of phase ordering of the oscillators. On the other hand, if the coupled HR oscillators are arranged in the ring topology with even number of oscillators, the oscillators are formed into two groups which are anti-phase synchronized, but all the oscillators in each group are in in-phase synchronization.Synchronization of the HR oscillators due to coupling in all topological arrangements is affected by the noise.However, noise can induce optimal coherence of the cross-talked oscillators at a particular value at which signal processing is the most favorable with amplified signal, the phenomenon known as stochastic resonance. Biomedical Informatics 2018-12-09 /pmc/articles/PMC6563662/ /pubmed/31223210 http://dx.doi.org/10.6026/97320630014504 Text en © 2018 Biomedical Informatics http://creativecommons.org/licenses/by/3.0/ This is an Open Access article which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. This is distributed under the terms of the Creative Commons Attribution License.
spellingShingle Hypothesis
Kumar Sharma, Saurabh
Zubbair Malik, Md.
Brojen Singh, R.K
Stochastic synchronization of neurons: the topologicalimpacts
title Stochastic synchronization of neurons: the topologicalimpacts
title_full Stochastic synchronization of neurons: the topologicalimpacts
title_fullStr Stochastic synchronization of neurons: the topologicalimpacts
title_full_unstemmed Stochastic synchronization of neurons: the topologicalimpacts
title_short Stochastic synchronization of neurons: the topologicalimpacts
title_sort stochastic synchronization of neurons: the topologicalimpacts
topic Hypothesis
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6563662/
https://www.ncbi.nlm.nih.gov/pubmed/31223210
http://dx.doi.org/10.6026/97320630014504
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