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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...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2011
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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). |
format | Online Article Text |
id | pubmed-3182871 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2011 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
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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