Learning and Adaptation
How do neurons and neural systems learn and adapt to stimulus
statistics and behavioral experience? Learning comes in a variety of
time scales and forms. We study learning that involves a change in the
input-output transfer function of neurons in response to a change in
the statistical structures in the environment or in the
behavioral experience of the animal. In one project, we are
charting the time course of perceptual learning, testing the
hypothesis that the modification of early visual processing is
a slow and gradual process as a function of behavioral experience.
In another project, we are investigating the roles of nonlinear
dynamics and information maximization in
contrast gain control.
- Project 1: Time course of perceptual learning
- Project Leader: Matthew Smith
- Project 2: Design principles of contrast gain control
Earlier projects:
- Project 1: Effect of behavioral experience and stimulus statistics
in early visual areas
- Project Leader: Tai Sing Lee
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