Songbird data yields new theory for learning sensorimotor skills

Songbirds learn to sing in a way similar to how humans learn to speak -- by listening to their fathers and trying to duplicate the sounds. The bird's brain sends commands to the vocal muscles to sing what it hears, and then the bird keeps trying to adjust the command until the sound echoes the one made by the parent.

During such trial-and-error processes of sensorimotor learning, a bird remembers not just the best possible command, but a whole suite of possibilities, suggests a study by scientists at Emory University. The Proceedings of the National Academy of the Sciences (PNAS) published the study results, which include a new mathematical model for the distribution of sensory errors in learning.

"Our findings suggest that an animal knows that even the perfect neural command is not going to result in the right outcome every time," says Ilya Nemenman, an Emory professor of biophysics and senior author of the paper. "Animals, including humans, want to explore and keep track of a range of possibilities when learning something in order to compensate for variabilities." Dr. Nemenman is faculty member in the NS and PBEE programs.

First author of the study is Baohua Zhou, a graduate student of physics. Co-authors include David Hofmann and Itai Pinkoviezky (post-doctoral fellows in physics) and Samuel Sober, an associate professor of biology. Dr. Sober is also a NS faculty member.

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