Dynamical models in neuroscience from a closed-loop control perspective

"Modifying neural activity is a substantial goal in neuroscience that facilitates the understanding of brain functions and the development of medical therapies. Neurobiological models play an essential role, contributing to the understanding of the underlying brain dynamics. In this context, co...

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Autores principales: Martínez, Sebastián, García Violini, Demián, Belluscio, Mariano, Piriz, Joaquin, Sánchez-Peña, Ricardo
Formato: Artículo de Publicación Periódica acceptedVersion
Lenguaje:Inglés
Publicado: 2023
Materias:
Acceso en línea:https://ri.itba.edu.ar/handle/123456789/4138
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id I32-R138-123456789-4138
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spelling I32-R138-123456789-41382023-01-07T03:01:21Z Dynamical models in neuroscience from a closed-loop control perspective Martínez, Sebastián García Violini, Demián Belluscio, Mariano Piriz, Joaquin Sánchez-Peña, Ricardo SISTEMAS DE CONTROL SISTEMAS DINAMICOS RETROALIMENTACION NEURONAS "Modifying neural activity is a substantial goal in neuroscience that facilitates the understanding of brain functions and the development of medical therapies. Neurobiological models play an essential role, contributing to the understanding of the underlying brain dynamics. In this context, control systems represent a fundamental tool to provide a correct articulation between model stimulus (system inputs) and outcomes (system outputs). However, throughout the literature there is a lack of discussions on neurobiological models, from the formal control perspective. In general, existing control proposals applied to this family of systems, are developed empirically, without theoretical and rigorous framework. Thus, the existing control solutions, present clear and significant limitations. The focus of this work is to survey dynamical neurobiological models that could serve for closed-loop control schemes or for simulation analysis. Consequently, this paper provides a comprehensive guide to discuss and analyze control oriented neurobiological models. It also provides a potential framework to adequately tackle control problems that could modify the behavior of single neurons or networks. Thus, this study constitutes a key element in the upcoming discussions and studies regarding control methodologies applied to neurobiological systems, to extend the present research and understanding horizon for this field." 2023-01-05T16:58:37Z 2023-01-05T16:58:37Z 2022-01-28 Artículo de Publicación Periódica info:eu-repo/semantics/acceptedVersion 1932-2968 https://ri.itba.edu.ar/handle/123456789/4138 en info:eu-repo/semantics/altIdentifier/doi/10.1177/19322968221096162 application/pdf
institution Instituto Tecnológico de Buenos Aires (ITBA)
institution_str I-32
repository_str R-138
collection Repositorio Institucional Instituto Tecnológico de Buenos Aires (ITBA)
language Inglés
topic SISTEMAS DE CONTROL
SISTEMAS DINAMICOS
RETROALIMENTACION
NEURONAS
spellingShingle SISTEMAS DE CONTROL
SISTEMAS DINAMICOS
RETROALIMENTACION
NEURONAS
Martínez, Sebastián
García Violini, Demián
Belluscio, Mariano
Piriz, Joaquin
Sánchez-Peña, Ricardo
Dynamical models in neuroscience from a closed-loop control perspective
topic_facet SISTEMAS DE CONTROL
SISTEMAS DINAMICOS
RETROALIMENTACION
NEURONAS
description "Modifying neural activity is a substantial goal in neuroscience that facilitates the understanding of brain functions and the development of medical therapies. Neurobiological models play an essential role, contributing to the understanding of the underlying brain dynamics. In this context, control systems represent a fundamental tool to provide a correct articulation between model stimulus (system inputs) and outcomes (system outputs). However, throughout the literature there is a lack of discussions on neurobiological models, from the formal control perspective. In general, existing control proposals applied to this family of systems, are developed empirically, without theoretical and rigorous framework. Thus, the existing control solutions, present clear and significant limitations. The focus of this work is to survey dynamical neurobiological models that could serve for closed-loop control schemes or for simulation analysis. Consequently, this paper provides a comprehensive guide to discuss and analyze control oriented neurobiological models. It also provides a potential framework to adequately tackle control problems that could modify the behavior of single neurons or networks. Thus, this study constitutes a key element in the upcoming discussions and studies regarding control methodologies applied to neurobiological systems, to extend the present research and understanding horizon for this field."
format Artículo de Publicación Periódica
acceptedVersion
author Martínez, Sebastián
García Violini, Demián
Belluscio, Mariano
Piriz, Joaquin
Sánchez-Peña, Ricardo
author_facet Martínez, Sebastián
García Violini, Demián
Belluscio, Mariano
Piriz, Joaquin
Sánchez-Peña, Ricardo
author_sort Martínez, Sebastián
title Dynamical models in neuroscience from a closed-loop control perspective
title_short Dynamical models in neuroscience from a closed-loop control perspective
title_full Dynamical models in neuroscience from a closed-loop control perspective
title_fullStr Dynamical models in neuroscience from a closed-loop control perspective
title_full_unstemmed Dynamical models in neuroscience from a closed-loop control perspective
title_sort dynamical models in neuroscience from a closed-loop control perspective
publishDate 2023
url https://ri.itba.edu.ar/handle/123456789/4138
work_keys_str_mv AT martinezsebastian dynamicalmodelsinneurosciencefromaclosedloopcontrolperspective
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AT bellusciomariano dynamicalmodelsinneurosciencefromaclosedloopcontrolperspective
AT pirizjoaquin dynamicalmodelsinneurosciencefromaclosedloopcontrolperspective
AT sanchezpenaricardo dynamicalmodelsinneurosciencefromaclosedloopcontrolperspective
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