Optimal searching behaviour generated intrinsically by the central pattern generator for locomotion

Autores
Sims, David W; Humphries, Nicolas E; Hu, Nan; Medan, Violeta; Berni, Jimena
Año de publicación
2019
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Efficient searching for resources such as food by animals is key to their survival. It has been proposed that diverse animals from insects to sharks and humans adopt searching patterns that resemble a simple Lévy random walk, which is theoretically optimal for ‘blind foragers’ to locate sparse, patchy resources. To test if such patterns are generated intrinsically, or arise via environmental interactions, we tracked free-moving Drosophila larvae with (and without) blocked synaptic activity in the brain, suboesophageal ganglion (SOG) and sensory neurons. In brain- blocked larvae, we found that extended substrate exploration emerges as multi-scale movement paths similar to truncated Lévy walks. Strikingly, power-law exponents of brain/SOG/sensory- blocked larvae averaged 1.96, close to a theoretical optimum (m ffi 2.0) for locating sparse resources. Thus, efficient spatial exploration can emerge from autonomous patterns in neural activity. Our results provide the strongest evidence so far for the intrinsic generation of Lévy-like movement patterns.
Fil: Sims, David W. The Marine Biological Association; Reino Unido. University of Southampton; Reino Unido
Fil: Humphries, Nicolas E. The Marine Biological Association; Reino Unido
Fil: Hu, Nan. University of Cambridge; Reino Unido
Fil: Medan, Violeta. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Instituto de Fisiología, Biología Molecular y Neurociencias. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Instituto de Fisiología, Biología Molecular y Neurociencias; Argentina. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Departamento de Fisiología, Biología Molecular y Celular; Argentina
Fil: Berni, Jimena. University of Cambridge; Estados Unidos
Materia
locomotion
Drosophila melanogaster
Lévy walks
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/121223

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spelling Optimal searching behaviour generated intrinsically by the central pattern generator for locomotionSims, David WHumphries, Nicolas EHu, NanMedan, VioletaBerni, JimenalocomotionDrosophila melanogasterLévy walkshttps://purl.org/becyt/ford/1.6https://purl.org/becyt/ford/1Efficient searching for resources such as food by animals is key to their survival. It has been proposed that diverse animals from insects to sharks and humans adopt searching patterns that resemble a simple Lévy random walk, which is theoretically optimal for ‘blind foragers’ to locate sparse, patchy resources. To test if such patterns are generated intrinsically, or arise via environmental interactions, we tracked free-moving Drosophila larvae with (and without) blocked synaptic activity in the brain, suboesophageal ganglion (SOG) and sensory neurons. In brain- blocked larvae, we found that extended substrate exploration emerges as multi-scale movement paths similar to truncated Lévy walks. Strikingly, power-law exponents of brain/SOG/sensory- blocked larvae averaged 1.96, close to a theoretical optimum (m ffi 2.0) for locating sparse resources. Thus, efficient spatial exploration can emerge from autonomous patterns in neural activity. Our results provide the strongest evidence so far for the intrinsic generation of Lévy-like movement patterns.Fil: Sims, David W. The Marine Biological Association; Reino Unido. University of Southampton; Reino UnidoFil: Humphries, Nicolas E. The Marine Biological Association; Reino UnidoFil: Hu, Nan. University of Cambridge; Reino UnidoFil: Medan, Violeta. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Instituto de Fisiología, Biología Molecular y Neurociencias. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Instituto de Fisiología, Biología Molecular y Neurociencias; Argentina. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Departamento de Fisiología, Biología Molecular y Celular; ArgentinaFil: Berni, Jimena. University of Cambridge; Estados UnidoseLife Sciences Publications2019-11info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/121223Sims, David W; Humphries, Nicolas E; Hu, Nan; Medan, Violeta; Berni, Jimena; Optimal searching behaviour generated intrinsically by the central pattern generator for locomotion; eLife Sciences Publications; eLife; 8; 11-2019; 1-312050-084XCONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://elifesciences.org/articles/50316info:eu-repo/semantics/altIdentifier/doi/10.7554/eLife.50316info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T10:20:33Zoai:ri.conicet.gov.ar:11336/121223instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-09-29 10:20:33.297CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Optimal searching behaviour generated intrinsically by the central pattern generator for locomotion
title Optimal searching behaviour generated intrinsically by the central pattern generator for locomotion
spellingShingle Optimal searching behaviour generated intrinsically by the central pattern generator for locomotion
Sims, David W
locomotion
Drosophila melanogaster
Lévy walks
title_short Optimal searching behaviour generated intrinsically by the central pattern generator for locomotion
title_full Optimal searching behaviour generated intrinsically by the central pattern generator for locomotion
title_fullStr Optimal searching behaviour generated intrinsically by the central pattern generator for locomotion
title_full_unstemmed Optimal searching behaviour generated intrinsically by the central pattern generator for locomotion
title_sort Optimal searching behaviour generated intrinsically by the central pattern generator for locomotion
dc.creator.none.fl_str_mv Sims, David W
Humphries, Nicolas E
Hu, Nan
Medan, Violeta
Berni, Jimena
author Sims, David W
author_facet Sims, David W
Humphries, Nicolas E
Hu, Nan
Medan, Violeta
Berni, Jimena
author_role author
author2 Humphries, Nicolas E
Hu, Nan
Medan, Violeta
Berni, Jimena
author2_role author
author
author
author
dc.subject.none.fl_str_mv locomotion
Drosophila melanogaster
Lévy walks
topic locomotion
Drosophila melanogaster
Lévy walks
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.6
https://purl.org/becyt/ford/1
dc.description.none.fl_txt_mv Efficient searching for resources such as food by animals is key to their survival. It has been proposed that diverse animals from insects to sharks and humans adopt searching patterns that resemble a simple Lévy random walk, which is theoretically optimal for ‘blind foragers’ to locate sparse, patchy resources. To test if such patterns are generated intrinsically, or arise via environmental interactions, we tracked free-moving Drosophila larvae with (and without) blocked synaptic activity in the brain, suboesophageal ganglion (SOG) and sensory neurons. In brain- blocked larvae, we found that extended substrate exploration emerges as multi-scale movement paths similar to truncated Lévy walks. Strikingly, power-law exponents of brain/SOG/sensory- blocked larvae averaged 1.96, close to a theoretical optimum (m ffi 2.0) for locating sparse resources. Thus, efficient spatial exploration can emerge from autonomous patterns in neural activity. Our results provide the strongest evidence so far for the intrinsic generation of Lévy-like movement patterns.
Fil: Sims, David W. The Marine Biological Association; Reino Unido. University of Southampton; Reino Unido
Fil: Humphries, Nicolas E. The Marine Biological Association; Reino Unido
Fil: Hu, Nan. University of Cambridge; Reino Unido
Fil: Medan, Violeta. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Instituto de Fisiología, Biología Molecular y Neurociencias. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Instituto de Fisiología, Biología Molecular y Neurociencias; Argentina. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Departamento de Fisiología, Biología Molecular y Celular; Argentina
Fil: Berni, Jimena. University of Cambridge; Estados Unidos
description Efficient searching for resources such as food by animals is key to their survival. It has been proposed that diverse animals from insects to sharks and humans adopt searching patterns that resemble a simple Lévy random walk, which is theoretically optimal for ‘blind foragers’ to locate sparse, patchy resources. To test if such patterns are generated intrinsically, or arise via environmental interactions, we tracked free-moving Drosophila larvae with (and without) blocked synaptic activity in the brain, suboesophageal ganglion (SOG) and sensory neurons. In brain- blocked larvae, we found that extended substrate exploration emerges as multi-scale movement paths similar to truncated Lévy walks. Strikingly, power-law exponents of brain/SOG/sensory- blocked larvae averaged 1.96, close to a theoretical optimum (m ffi 2.0) for locating sparse resources. Thus, efficient spatial exploration can emerge from autonomous patterns in neural activity. Our results provide the strongest evidence so far for the intrinsic generation of Lévy-like movement patterns.
publishDate 2019
dc.date.none.fl_str_mv 2019-11
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/121223
Sims, David W; Humphries, Nicolas E; Hu, Nan; Medan, Violeta; Berni, Jimena; Optimal searching behaviour generated intrinsically by the central pattern generator for locomotion; eLife Sciences Publications; eLife; 8; 11-2019; 1-31
2050-084X
CONICET Digital
CONICET
url http://hdl.handle.net/11336/121223
identifier_str_mv Sims, David W; Humphries, Nicolas E; Hu, Nan; Medan, Violeta; Berni, Jimena; Optimal searching behaviour generated intrinsically by the central pattern generator for locomotion; eLife Sciences Publications; eLife; 8; 11-2019; 1-31
2050-084X
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/https://elifesciences.org/articles/50316
info:eu-repo/semantics/altIdentifier/doi/10.7554/eLife.50316
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv eLife Sciences Publications
publisher.none.fl_str_mv eLife Sciences Publications
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
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