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dc.contributor.author
Sims, David W  
dc.contributor.author
Humphries, Nicolas E  
dc.contributor.author
Hu, Nan  
dc.contributor.author
Medan, Violeta  
dc.contributor.author
Berni, Jimena  
dc.date.available
2020-12-28T15:54:42Z  
dc.date.issued
2019-11  
dc.identifier.citation
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  
dc.identifier.issn
2050-084X  
dc.identifier.uri
http://hdl.handle.net/11336/121223  
dc.description.abstract
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.  
dc.format
application/pdf  
dc.language.iso
eng  
dc.publisher
eLife Sciences Publications  
dc.rights
info:eu-repo/semantics/openAccess  
dc.rights.uri
https://creativecommons.org/licenses/by/2.5/ar/  
dc.subject
locomotion  
dc.subject
Drosophila melanogaster  
dc.subject
Lévy walks  
dc.subject.classification
Biología del Desarrollo  
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Ciencias Biológicas  
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CIENCIAS NATURALES Y EXACTAS  
dc.title
Optimal searching behaviour generated intrinsically by the central pattern generator for locomotion  
dc.type
info:eu-repo/semantics/article  
dc.type
info:ar-repo/semantics/artículo  
dc.type
info:eu-repo/semantics/publishedVersion  
dc.date.updated
2020-11-13T20:42:20Z  
dc.journal.volume
8  
dc.journal.pagination
1-31  
dc.journal.pais
Estados Unidos  
dc.description.fil
Fil: Sims, David W. The Marine Biological Association; Reino Unido. University of Southampton; Reino Unido  
dc.description.fil
Fil: Humphries, Nicolas E. The Marine Biological Association; Reino Unido  
dc.description.fil
Fil: Hu, Nan. University of Cambridge; Reino Unido  
dc.description.fil
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  
dc.description.fil
Fil: Berni, Jimena. University of Cambridge; Estados Unidos  
dc.journal.title
eLife  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/https://elifesciences.org/articles/50316  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.7554/eLife.50316