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Modular Neurodynamics and Its Classification by Synchronization Cores

It is assumed that the cause of cognitive and behavioral capacities of living systems is to be found in the complex structure-function relationship of their brains; a property that is still difficult to decipher. Based on a neurodynamics approach to embodied cognition this paper introduces a method...

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Autor principal: Pasemann, Frank
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7994361/
https://www.ncbi.nlm.nih.gov/pubmed/33776660
http://dx.doi.org/10.3389/fnsys.2021.606074
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author Pasemann, Frank
author_facet Pasemann, Frank
author_sort Pasemann, Frank
collection PubMed
description It is assumed that the cause of cognitive and behavioral capacities of living systems is to be found in the complex structure-function relationship of their brains; a property that is still difficult to decipher. Based on a neurodynamics approach to embodied cognition this paper introduces a method to guide the development of modular neural systems into the direction of enhanced cognitive abilities. It uses formally the synchronization of subnetworks to split the dynamics of coupled systems into synchronized and asynchronous components. The concept of a synchronization core is introduced to represent a whole family of parameterized neurodynamical systems living in a synchronization manifold. It is used to identify those coupled systems having a rich spectrum of dynamical properties. Special coupling structures—called generative—are identified which allow to make the synchronized dynamics more “complex” than the dynamics of the isolated parts. Furthermore, a criterion for coupling structures is given which, in addition to the synchronized dynamics, allows also for an asynchronous dynamics by destabilizing the synchronization manifold. The large class of synchronization equivalent systems contains networks with very different coupling structures and weights allsharing the same dynamical properties. To demonstrate the method a simple example is discussed in detail.
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spelling pubmed-79943612021-03-27 Modular Neurodynamics and Its Classification by Synchronization Cores Pasemann, Frank Front Syst Neurosci Neuroscience It is assumed that the cause of cognitive and behavioral capacities of living systems is to be found in the complex structure-function relationship of their brains; a property that is still difficult to decipher. Based on a neurodynamics approach to embodied cognition this paper introduces a method to guide the development of modular neural systems into the direction of enhanced cognitive abilities. It uses formally the synchronization of subnetworks to split the dynamics of coupled systems into synchronized and asynchronous components. The concept of a synchronization core is introduced to represent a whole family of parameterized neurodynamical systems living in a synchronization manifold. It is used to identify those coupled systems having a rich spectrum of dynamical properties. Special coupling structures—called generative—are identified which allow to make the synchronized dynamics more “complex” than the dynamics of the isolated parts. Furthermore, a criterion for coupling structures is given which, in addition to the synchronized dynamics, allows also for an asynchronous dynamics by destabilizing the synchronization manifold. The large class of synchronization equivalent systems contains networks with very different coupling structures and weights allsharing the same dynamical properties. To demonstrate the method a simple example is discussed in detail. Frontiers Media S.A. 2021-03-12 /pmc/articles/PMC7994361/ /pubmed/33776660 http://dx.doi.org/10.3389/fnsys.2021.606074 Text en Copyright © 2021 Pasemann. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Neuroscience
Pasemann, Frank
Modular Neurodynamics and Its Classification by Synchronization Cores
title Modular Neurodynamics and Its Classification by Synchronization Cores
title_full Modular Neurodynamics and Its Classification by Synchronization Cores
title_fullStr Modular Neurodynamics and Its Classification by Synchronization Cores
title_full_unstemmed Modular Neurodynamics and Its Classification by Synchronization Cores
title_short Modular Neurodynamics and Its Classification by Synchronization Cores
title_sort modular neurodynamics and its classification by synchronization cores
topic Neuroscience
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7994361/
https://www.ncbi.nlm.nih.gov/pubmed/33776660
http://dx.doi.org/10.3389/fnsys.2021.606074
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