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
- Institución
- Consejo Nacional de Investigaciones Científicas y Técnicas
- OAI Identificador
- oai:ri.conicet.gov.ar:11336/121223
Ver los metadatos del registro completo
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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) |
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CONICET Digital (CONICET) |
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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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score |
13.070432 |