Controlling neural activity: LPV modelling of optogenetically actuated Wilson-Cowan model

This paper aims to bridge the gap between neurophysiology and automatic control methodologies by redefining the Wilson-Cowan (WC) model as a control-oriented linear parameter-varying (LPV) system. A novel approach is presented that allows for the application of a control strategy to modulate and tra...

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Autores principales: Martínez, S., Sánchez-Peña, R. S., García-Violini, D.
Formato: Artículo de publicación periódica
Lenguaje:Inglés
Publicado: 2024
Materias:
NEUROFISIOLOGÍA
OPTOGENÉTICA
VARIACIÓN LINEAL DE PARAMETROS
CONTROL DE LAZO CERRADO
OPSINAS
Acceso en línea:https://ri.itba.edu.ar/handle/20.500.14769/4458
Aporte de:
Repositorio Institucional Instituto Tecnológico de Buenos Aires (ITBA) de Instituto Tecnológico de Buenos Aires (ITBA)
id I32-R138-20.500.14769-4458
record_format dspace
spelling I32-R138-20.500.14769-44582026-01-15T14:39:06Z Controlling neural activity: LPV modelling of optogenetically actuated Wilson-Cowan model Martínez, S. Sánchez-Peña, R. S. García-Violini, D. NEUROFISIOLOGÍA OPTOGENÉTICA VARIACIÓN LINEAL DE PARAMETROS CONTROL DE LAZO CERRADO OPSINAS This paper aims to bridge the gap between neurophysiology and automatic control methodologies by redefining the Wilson-Cowan (WC) model as a control-oriented linear parameter-varying (LPV) system. A novel approach is presented that allows for the application of a control strategy to modulate and track neural activity. Approach: The WC model is redefined as a control-oriented LPV system in this study. The LPV modelling framework is leveraged to design an LPV controller, which is used to regulate and manipulate neural dynamics. Main results: Promising outcomes, in understanding and controlling neural processes through the synergistic combination of control-oriented modelling and estimation, are obtained in this study. An LPV controller demonstrates to be effective in regulating neural activity. Significance: The presented methodology effectively induces neural patterns, taking into account optogenetic actuation. The combination of control strategies with neurophysiology provides valuable insights into neural dynamics. The proposed approach opens up new possibilities for using control techniques to study and influence brain functions, which can have key implications in neuroscience and medicine. By means of a model-based controller which accounts for non-linearities, noise and uncertainty, neural signals can be induced on brain structures. 2024-05-06T15:58:40Z 2024-05-06T15:58:40Z 2024 Artículo de publicación periódica https://ri.itba.edu.ar/handle/20.500.14769/4458 en 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 NEUROFISIOLOGÍA
OPTOGENÉTICA
VARIACIÓN LINEAL DE PARAMETROS
CONTROL DE LAZO CERRADO
OPSINAS
spellingShingle NEUROFISIOLOGÍA
OPTOGENÉTICA
VARIACIÓN LINEAL DE PARAMETROS
CONTROL DE LAZO CERRADO
OPSINAS
Martínez, S.
Sánchez-Peña, R. S.
García-Violini, D.
Controlling neural activity: LPV modelling of optogenetically actuated Wilson-Cowan model
topic_facet NEUROFISIOLOGÍA
OPTOGENÉTICA
VARIACIÓN LINEAL DE PARAMETROS
CONTROL DE LAZO CERRADO
OPSINAS
description This paper aims to bridge the gap between neurophysiology and automatic control methodologies by redefining the Wilson-Cowan (WC) model as a control-oriented linear parameter-varying (LPV) system. A novel approach is presented that allows for the application of a control strategy to modulate and track neural activity. Approach: The WC model is redefined as a control-oriented LPV system in this study. The LPV modelling framework is leveraged to design an LPV controller, which is used to regulate and manipulate neural dynamics. Main results: Promising outcomes, in understanding and controlling neural processes through the synergistic combination of control-oriented modelling and estimation, are obtained in this study. An LPV controller demonstrates to be effective in regulating neural activity. Significance: The presented methodology effectively induces neural patterns, taking into account optogenetic actuation. The combination of control strategies with neurophysiology provides valuable insights into neural dynamics. The proposed approach opens up new possibilities for using control techniques to study and influence brain functions, which can have key implications in neuroscience and medicine. By means of a model-based controller which accounts for non-linearities, noise and uncertainty, neural signals can be induced on brain structures.
format Artículo de publicación periódica
author Martínez, S.
Sánchez-Peña, R. S.
García-Violini, D.
author_facet Martínez, S.
Sánchez-Peña, R. S.
García-Violini, D.
author_sort Martínez, S.
title Controlling neural activity: LPV modelling of optogenetically actuated Wilson-Cowan model
title_short Controlling neural activity: LPV modelling of optogenetically actuated Wilson-Cowan model
title_full Controlling neural activity: LPV modelling of optogenetically actuated Wilson-Cowan model
title_fullStr Controlling neural activity: LPV modelling of optogenetically actuated Wilson-Cowan model
title_full_unstemmed Controlling neural activity: LPV modelling of optogenetically actuated Wilson-Cowan model
title_sort controlling neural activity: lpv modelling of optogenetically actuated wilson-cowan model
publishDate 2024
url https://ri.itba.edu.ar/handle/20.500.14769/4458
work_keys_str_mv AT martinezs controllingneuralactivitylpvmodellingofoptogeneticallyactuatedwilsoncowanmodel
AT sanchezpenars controllingneuralactivitylpvmodellingofoptogeneticallyactuatedwilsoncowanmodel
AT garciaviolinid controllingneuralactivitylpvmodellingofoptogeneticallyactuatedwilsoncowanmodel
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