Abstract:
In this work we explore the constraints that the structure of the neural motor program imposes to the possible songs learned by oscine birds. We carry out this program by translating anatomical information on the structure of these nuclei into a computational model. We investigate with analytical and numeral tools this model, and use its solutions to generate synthetic songs. This allows us to perform specific predictions on the simultaneous measurement of acoustic features and the physiological variables during the song. © EDP Sciences/ Societé Italiana di Fisica/Springer-Verlag 2007.
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Citas:
---------- APA ----------
Trevisan, M.A. & Mindlin, G.B.
(2007)
. The constraints to learning in birdsong. European Physical Journal: Special Topics, 146(1), 199-204.
http://dx.doi.org/10.1140/epjst/e2007-00180-1---------- CHICAGO ----------
Trevisan, M.A., Mindlin, G.B.
"The constraints to learning in birdsong"
. European Physical Journal: Special Topics 146, no. 1
(2007) : 199-204.
http://dx.doi.org/10.1140/epjst/e2007-00180-1---------- MLA ----------
Trevisan, M.A., Mindlin, G.B.
"The constraints to learning in birdsong"
. European Physical Journal: Special Topics, vol. 146, no. 1, 2007, pp. 199-204.
http://dx.doi.org/10.1140/epjst/e2007-00180-1---------- VANCOUVER ----------
Trevisan, M.A., Mindlin, G.B. The constraints to learning in birdsong. Eur. Phys. J.: Spec. Top. 2007;146(1):199-204.
http://dx.doi.org/10.1140/epjst/e2007-00180-1