Discrete sequential information coding: Heteroclinic cognitive dynamics
Discrete sequential information coding is a key mechanism that transforms complex cognitive brain activity into a low-dimensional dynamical process based on the sequential switching among finite numbers of patterns. The storage size of the corresponding process is large because of the permutation ca...
| Autores: | , |
|---|---|
| Tipo de recurso: | artículo |
| Fecha de publicación: | 2018 |
| País: | España |
| Institución: | Universidad Autónoma de Madrid |
| Repositorio: | Biblos-e Archivo. Repositorio Institucional de la UAM |
| Idioma: | inglés |
| OAI Identifier: | oai:repositorio.uam.es:10486/685830 |
| Acceso en línea: | http://hdl.handle.net/10486/685830 https://dx.doi.org/10.3389/fncom.2018.00073 |
| Access Level: | acceso abierto |
| Palabra clave: | Control of episodic memory retrieval Heteroclinic binding Hierarchical cognitive networks Information patterns Metastable state brain dynamics Informática |
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Discrete sequential information coding: Heteroclinic cognitive dynamicsRabinovich, Mikhail I.Varona Martínez, PabloControl of episodic memory retrievalHeteroclinic bindingHierarchical cognitive networksInformation patternsMetastable state brain dynamicsInformáticaDiscrete sequential information coding is a key mechanism that transforms complex cognitive brain activity into a low-dimensional dynamical process based on the sequential switching among finite numbers of patterns. The storage size of the corresponding process is large because of the permutation capacity as a function of control signals in ensembles of these patterns. Extracting low-dimensional functional dynamics from multiple large-scale neural populations is a central problem both in neuro-and cognitive-sciences. Experimental results in the last decade represent a solid base for the creation of low-dimensional models of different cognitive functions and allow moving toward a dynamical theory of consciousness. We discuss here a methodology to build simple kinetic equations that can be the mathematical skeleton of this theory. Models of the corresponding discrete information processing can be designed using the following dynamical principles: (i) clusterization of the neural activity in space and time and formation of information patterns; (ii) robustness of the sequential dynamics based on heteroclinic chains of metastable clusters; and (iii) sensitivity of such sequential dynamics to intrinsic and external informational signals. We analyze sequential discrete coding based on winnerless competition low-frequency dynamics. Under such dynamics, entrainment, and heteroclinic coordination leads to a large variety of coding regimes that are invariant in time.Research supported by NSF grant number CCF-1640227, ONR grants N00014310205, and N00014-13-1-0678 (MR) and MINECO/FEDER DPI2015-65833-P (http://www.mineco.gob. es) and ONRG grant N62909-14-1-N279 (PV)Frontiers Media S.A.Departamento de Ingeniería InformáticaEscuela Politécnica Superior20182018-09-07research articlehttp://purl.org/coar/resource_type/c_2df8fbb1VoRhttp://purl.org/coar/version/c_970fb48d4fbd8a85info:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10486/685830https://dx.doi.org/10.3389/fncom.2018.00073reponame:Biblos-e Archivo. Repositorio Institucional de la UAMinstname:Universidad Autónoma de MadridInglésengopen accesshttp://purl.org/coar/access_right/c_abf2info:eu-repo/semantics/openAccessoai:repositorio.uam.es:10486/6858302026-06-23T12:46:27Z |
| dc.title.none.fl_str_mv |
Discrete sequential information coding: Heteroclinic cognitive dynamics |
| title |
Discrete sequential information coding: Heteroclinic cognitive dynamics |
| spellingShingle |
Discrete sequential information coding: Heteroclinic cognitive dynamics Rabinovich, Mikhail I. Control of episodic memory retrieval Heteroclinic binding Hierarchical cognitive networks Information patterns Metastable state brain dynamics Informática |
| title_short |
Discrete sequential information coding: Heteroclinic cognitive dynamics |
| title_full |
Discrete sequential information coding: Heteroclinic cognitive dynamics |
| title_fullStr |
Discrete sequential information coding: Heteroclinic cognitive dynamics |
| title_full_unstemmed |
Discrete sequential information coding: Heteroclinic cognitive dynamics |
| title_sort |
Discrete sequential information coding: Heteroclinic cognitive dynamics |
| dc.creator.none.fl_str_mv |
Rabinovich, Mikhail I. Varona Martínez, Pablo |
| author |
Rabinovich, Mikhail I. |
| author_facet |
Rabinovich, Mikhail I. Varona Martínez, Pablo |
| author_role |
author |
| author2 |
Varona Martínez, Pablo |
| author2_role |
author |
| dc.contributor.none.fl_str_mv |
Departamento de Ingeniería Informática Escuela Politécnica Superior |
| dc.subject.none.fl_str_mv |
Control of episodic memory retrieval Heteroclinic binding Hierarchical cognitive networks Information patterns Metastable state brain dynamics Informática |
| topic |
Control of episodic memory retrieval Heteroclinic binding Hierarchical cognitive networks Information patterns Metastable state brain dynamics Informática |
| description |
Discrete sequential information coding is a key mechanism that transforms complex cognitive brain activity into a low-dimensional dynamical process based on the sequential switching among finite numbers of patterns. The storage size of the corresponding process is large because of the permutation capacity as a function of control signals in ensembles of these patterns. Extracting low-dimensional functional dynamics from multiple large-scale neural populations is a central problem both in neuro-and cognitive-sciences. Experimental results in the last decade represent a solid base for the creation of low-dimensional models of different cognitive functions and allow moving toward a dynamical theory of consciousness. We discuss here a methodology to build simple kinetic equations that can be the mathematical skeleton of this theory. Models of the corresponding discrete information processing can be designed using the following dynamical principles: (i) clusterization of the neural activity in space and time and formation of information patterns; (ii) robustness of the sequential dynamics based on heteroclinic chains of metastable clusters; and (iii) sensitivity of such sequential dynamics to intrinsic and external informational signals. We analyze sequential discrete coding based on winnerless competition low-frequency dynamics. Under such dynamics, entrainment, and heteroclinic coordination leads to a large variety of coding regimes that are invariant in time. |
| publishDate |
2018 |
| dc.date.none.fl_str_mv |
2018 2018-09-07 |
| dc.type.none.fl_str_mv |
research article http://purl.org/coar/resource_type/c_2df8fbb1 VoR http://purl.org/coar/version/c_970fb48d4fbd8a85 |
| dc.type.openaire.fl_str_mv |
info:eu-repo/semantics/article |
| format |
article |
| dc.identifier.none.fl_str_mv |
http://hdl.handle.net/10486/685830 https://dx.doi.org/10.3389/fncom.2018.00073 |
| url |
http://hdl.handle.net/10486/685830 https://dx.doi.org/10.3389/fncom.2018.00073 |
| dc.language.none.fl_str_mv |
Inglés eng |
| language_invalid_str_mv |
Inglés |
| language |
eng |
| dc.rights.none.fl_str_mv |
open access http://purl.org/coar/access_right/c_abf2 |
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info:eu-repo/semantics/openAccess |
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open access http://purl.org/coar/access_right/c_abf2 |
| eu_rights_str_mv |
openAccess |
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application/pdf |
| dc.publisher.none.fl_str_mv |
Frontiers Media S.A. |
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Frontiers Media S.A. |
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reponame:Biblos-e Archivo. Repositorio Institucional de la UAM instname:Universidad Autónoma de Madrid |
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Universidad Autónoma de Madrid |
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Biblos-e Archivo. Repositorio Institucional de la UAM |
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Biblos-e Archivo. Repositorio Institucional de la UAM |
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