Power law and competitive model for behavioral characterization of incompatible spontaneous behavior in Drosophila melanogaster

The present report aims to examine models that best describe the temporal structure of walking and immobility in Drosophila melanogaster, using data from a public repository (Maesani et al., 2015). Two candidate models were evaluated: a power-law distribution, which implies criticality in the neural...

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Detalles Bibliográficos
Autores: Gómez González, Carlos María, Altahona, María A.
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2026
País:España
Institución:Universidad de Sevilla (US)
Repositorio:idUS. Depósito de Investigación de la Universidad de Sevilla
OAI Identifier:oai:dnet:idus________::b28c9acc9559c746babc01a6ea2c1b4f
Acceso en línea:https://hdl.handle.net/11441/185679
https://doi.org/10.1016/j.beproc.2026.105372
Access Level:acceso abierto
Palabra clave:Decision-making processes
Competition model
Locomotor bout duration
Immobility duration
Drosophila melanogaster
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spelling Power law and competitive model for behavioral characterization of incompatible spontaneous behavior in Drosophila melanogasterGómez González, Carlos MaríaAltahona, María A.Decision-making processesCompetition modelLocomotor bout durationImmobility durationDrosophila melanogasterThe present report aims to examine models that best describe the temporal structure of walking and immobility in Drosophila melanogaster, using data from a public repository (Maesani et al., 2015). Two candidate models were evaluated: a power-law distribution, which implies criticality in the neural networks underlying these behaviors, and a geometric distribution, which suggests stochastic competition between neural circuits governing two mutually exclusive motor states. The results indicate that both models provide satisfactory fits to the observed spontaneous walking–resting behavior. Both models provide an alternative framework for understanding internal neural mechanisms through the observation and quantification of overt behavior. These findings underscore the importance of testing alternative models to more accurately characterize the underlying dynamics of behavioral organization.ElsevierPsicología ExperimentalAgencia Estatal de Investigación. España2026info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfapplication/pdfhttps://hdl.handle.net/11441/185679https://doi.org/10.1016/j.beproc.2026.105372reponame:idUS. Depósito de Investigación de la Universidad de Sevillainstname:Universidad de Sevilla (US)InglésBehavioural Processes, 238, 105372. PID2022-139151OB-I00https://www.sciencedirect.com/science/article/pii/S037663572600046X?via%3Dihubinfo:eu-repo/semantics/openAccessoai:dnet:idus________::b28c9acc9559c746babc01a6ea2c1b4f2026-06-17T12:51:07Z
dc.title.none.fl_str_mv Power law and competitive model for behavioral characterization of incompatible spontaneous behavior in Drosophila melanogaster
title Power law and competitive model for behavioral characterization of incompatible spontaneous behavior in Drosophila melanogaster
spellingShingle Power law and competitive model for behavioral characterization of incompatible spontaneous behavior in Drosophila melanogaster
Gómez González, Carlos María
Decision-making processes
Competition model
Locomotor bout duration
Immobility duration
Drosophila melanogaster
title_short Power law and competitive model for behavioral characterization of incompatible spontaneous behavior in Drosophila melanogaster
title_full Power law and competitive model for behavioral characterization of incompatible spontaneous behavior in Drosophila melanogaster
title_fullStr Power law and competitive model for behavioral characterization of incompatible spontaneous behavior in Drosophila melanogaster
title_full_unstemmed Power law and competitive model for behavioral characterization of incompatible spontaneous behavior in Drosophila melanogaster
title_sort Power law and competitive model for behavioral characterization of incompatible spontaneous behavior in Drosophila melanogaster
dc.creator.none.fl_str_mv Gómez González, Carlos María
Altahona, María A.
author Gómez González, Carlos María
author_facet Gómez González, Carlos María
Altahona, María A.
author_role author
author2 Altahona, María A.
author2_role author
dc.contributor.none.fl_str_mv Psicología Experimental
Agencia Estatal de Investigación. España
dc.subject.none.fl_str_mv Decision-making processes
Competition model
Locomotor bout duration
Immobility duration
Drosophila melanogaster
topic Decision-making processes
Competition model
Locomotor bout duration
Immobility duration
Drosophila melanogaster
description The present report aims to examine models that best describe the temporal structure of walking and immobility in Drosophila melanogaster, using data from a public repository (Maesani et al., 2015). Two candidate models were evaluated: a power-law distribution, which implies criticality in the neural networks underlying these behaviors, and a geometric distribution, which suggests stochastic competition between neural circuits governing two mutually exclusive motor states. The results indicate that both models provide satisfactory fits to the observed spontaneous walking–resting behavior. Both models provide an alternative framework for understanding internal neural mechanisms through the observation and quantification of overt behavior. These findings underscore the importance of testing alternative models to more accurately characterize the underlying dynamics of behavioral organization.
publishDate 2026
dc.date.none.fl_str_mv 2026
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv https://hdl.handle.net/11441/185679
https://doi.org/10.1016/j.beproc.2026.105372
url https://hdl.handle.net/11441/185679
https://doi.org/10.1016/j.beproc.2026.105372
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv Behavioural Processes, 238, 105372.
PID2022-139151OB-I00
https://www.sciencedirect.com/science/article/pii/S037663572600046X?via%3Dihub
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Elsevier
publisher.none.fl_str_mv Elsevier
dc.source.none.fl_str_mv reponame:idUS. Depósito de Investigación de la Universidad de Sevilla
instname:Universidad de Sevilla (US)
instname_str Universidad de Sevilla (US)
reponame_str idUS. Depósito de Investigación de la Universidad de Sevilla
collection idUS. Depósito de Investigación de la Universidad de Sevilla
repository.name.fl_str_mv
repository.mail.fl_str_mv
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