Mostrar el registro sencillo del ítem

dc.contributor.author
Mindlin, Bernardo Gabriel  
dc.date.available
2017-11-30T21:00:14Z  
dc.date.issued
2017-02  
dc.identifier.citation
Mindlin, Bernardo Gabriel; Avian vocal production beyond low dimensional models; IOP Publishing; Journal of Statistical Mechanics: Theory and Experiment; 2017; Sp.Iss.26; 2-2017  
dc.identifier.issn
1742-5468  
dc.identifier.uri
http://hdl.handle.net/11336/29402  
dc.description.abstract
Birdsong is an active field of research in neuroscience, since songbirds learn their songs through a process similar to that followed by humans during vocal learning. Moreover, many of the vocalizations produced by birds are quite complex. Since the avian vocal organ is nonlinear, it is sensible to explore how much of that complexity is due to the neural instructions controlling the vocal organ, and how much to its nonlinear nature. In this work we first review some of the work carried out in the last years to address this problem, and then we discuss the existence of noisy sound sources in the avian vocal organ. We show that some spectral features of the song produced by the Zebra finch (one of the most widely studied species) can only be explained when vortex sound is taken into account.  
dc.format
application/pdf  
dc.language.iso
eng  
dc.publisher
IOP Publishing  
dc.rights
info:eu-repo/semantics/restrictedAccess  
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/  
dc.subject
Computational Biology  
dc.subject.classification
Astronomía  
dc.subject.classification
Ciencias Físicas  
dc.subject.classification
CIENCIAS NATURALES Y EXACTAS  
dc.title
Avian vocal production beyond low dimensional models  
dc.type
info:eu-repo/semantics/article  
dc.type
info:ar-repo/semantics/artículo  
dc.type
info:eu-repo/semantics/publishedVersion  
dc.date.updated
2017-07-13T18:17:09Z  
dc.journal.volume
2017  
dc.journal.number
Sp.Iss.26  
dc.journal.pais
Reino Unido  
dc.journal.ciudad
Bristol  
dc.description.fil
Fil: Mindlin, Bernardo Gabriel. Universidad de Buenos Aires; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina  
dc.journal.title
Journal of Statistical Mechanics: Theory and Experiment  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1088/1742-5468/aa54d8  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/http://iopscience.iop.org/article/10.1088/1742-5468/aa54d8/meta