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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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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Frontiers Media S.A.
2021
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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. |
format | Online Article Text |
id | pubmed-7994361 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT pasemannfrank modularneurodynamicsanditsclassificationbysynchronizationcores |