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Time Scale Hierarchies in the Functional Organization of Complex Behaviors

Traditional approaches to cognitive modelling generally portray cognitive events in terms of ‘discrete’ states (point attractor dynamics) rather than in terms of processes, thereby neglecting the time structure of cognition. In contrast, more recent approaches explicitly address this temporal dimens...

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Autores principales: Perdikis, Dionysios, Huys, Raoul, Jirsa, Viktor K.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2011
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3182871/
https://www.ncbi.nlm.nih.gov/pubmed/21980278
http://dx.doi.org/10.1371/journal.pcbi.1002198
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author Perdikis, Dionysios
Huys, Raoul
Jirsa, Viktor K.
author_facet Perdikis, Dionysios
Huys, Raoul
Jirsa, Viktor K.
author_sort Perdikis, Dionysios
collection PubMed
description Traditional approaches to cognitive modelling generally portray cognitive events in terms of ‘discrete’ states (point attractor dynamics) rather than in terms of processes, thereby neglecting the time structure of cognition. In contrast, more recent approaches explicitly address this temporal dimension, but typically provide no entry points into cognitive categorization of events and experiences. With the aim to incorporate both these aspects, we propose a framework for functional architectures. Our approach is grounded in the notion that arbitrary complex (human) behaviour is decomposable into functional modes (elementary units), which we conceptualize as low-dimensional dynamical objects (structured flows on manifolds). The ensemble of modes at an agent’s disposal constitutes his/her functional repertoire. The modes may be subjected to additional dynamics (termed operational signals), in particular, instantaneous inputs, and a mechanism that sequentially selects a mode so that it temporarily dominates the functional dynamics. The inputs and selection mechanisms act on faster and slower time scales then that inherent to the modes, respectively. The dynamics across the three time scales are coupled via feedback, rendering the entire architecture autonomous. We illustrate the functional architecture in the context of serial behaviour, namely cursive handwriting. Subsequently, we investigate the possibility of recovering the contributions of functional modes and operational signals from the output, which appears to be possible only when examining the output phase flow (i.e., not from trajectories in phase space or time).
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spelling pubmed-31828712011-10-06 Time Scale Hierarchies in the Functional Organization of Complex Behaviors Perdikis, Dionysios Huys, Raoul Jirsa, Viktor K. PLoS Comput Biol Research Article Traditional approaches to cognitive modelling generally portray cognitive events in terms of ‘discrete’ states (point attractor dynamics) rather than in terms of processes, thereby neglecting the time structure of cognition. In contrast, more recent approaches explicitly address this temporal dimension, but typically provide no entry points into cognitive categorization of events and experiences. With the aim to incorporate both these aspects, we propose a framework for functional architectures. Our approach is grounded in the notion that arbitrary complex (human) behaviour is decomposable into functional modes (elementary units), which we conceptualize as low-dimensional dynamical objects (structured flows on manifolds). The ensemble of modes at an agent’s disposal constitutes his/her functional repertoire. The modes may be subjected to additional dynamics (termed operational signals), in particular, instantaneous inputs, and a mechanism that sequentially selects a mode so that it temporarily dominates the functional dynamics. The inputs and selection mechanisms act on faster and slower time scales then that inherent to the modes, respectively. The dynamics across the three time scales are coupled via feedback, rendering the entire architecture autonomous. We illustrate the functional architecture in the context of serial behaviour, namely cursive handwriting. Subsequently, we investigate the possibility of recovering the contributions of functional modes and operational signals from the output, which appears to be possible only when examining the output phase flow (i.e., not from trajectories in phase space or time). Public Library of Science 2011-09-29 /pmc/articles/PMC3182871/ /pubmed/21980278 http://dx.doi.org/10.1371/journal.pcbi.1002198 Text en Perdikis et al. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Perdikis, Dionysios
Huys, Raoul
Jirsa, Viktor K.
Time Scale Hierarchies in the Functional Organization of Complex Behaviors
title Time Scale Hierarchies in the Functional Organization of Complex Behaviors
title_full Time Scale Hierarchies in the Functional Organization of Complex Behaviors
title_fullStr Time Scale Hierarchies in the Functional Organization of Complex Behaviors
title_full_unstemmed Time Scale Hierarchies in the Functional Organization of Complex Behaviors
title_short Time Scale Hierarchies in the Functional Organization of Complex Behaviors
title_sort time scale hierarchies in the functional organization of complex behaviors
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3182871/
https://www.ncbi.nlm.nih.gov/pubmed/21980278
http://dx.doi.org/10.1371/journal.pcbi.1002198
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