The constraints to learning in birdsong
Physics Department, FCEyN, UBA, Buenos Aires C1428, EGA, Argentina
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, Springer-Verlag, 2007