Seminar · Computational Neuroscience
Low dimensional models and electrophysiological experiments to study neural dynamics in songbirds
Ana Amador · University of Buenos Aires
Wed, Dec 2, 2020 · 13:30 UTC
Birdsong emerges when a set of highly interconnected brain areas manage to generate a complex output. The similarities between birdsong production and human speech have positioned songbirds as unique animal models for studying learning and production of this complex motor skill. In this work, we developed a low dimensional model for a neural network in which the variables were the average activities of different neural populations within the nuclei of the song system. This neural network is active during production, perception and learning of birdsong. We performed electrophysiological experim