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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Acceso en línea: | https://ri.itba.edu.ar/handle/123456789/4138 |
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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 |
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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 AT garciaviolinidemian dynamicalmodelsinneurosciencefromaclosedloopcontrolperspective AT bellusciomariano dynamicalmodelsinneurosciencefromaclosedloopcontrolperspective AT pirizjoaquin dynamicalmodelsinneurosciencefromaclosedloopcontrolperspective AT sanchezpenaricardo dynamicalmodelsinneurosciencefromaclosedloopcontrolperspective |
_version_ |
1766727850635821056 |