Learning with Brain-Computer Interfaces – Prof. Aaron P. Batista

Learning with Brain-Computer Interfaces – Prof. Aaron P. Batista

Fast and Slow Learning with Brain-Computer Interfaces
Aaron P. Batista, University of Pittsburgh

When we learn, the brain changes at nearly every level of organization. Synapses form and strengthen, individual neurons change their tuning properties, and cortical maps expand. My research examines how learning alters the coordinated activity of populations of neurons. This is a particularly important level at which to study learning because it is the action of populations of neurons that drive behavior, generate perceptions, and undergird our cognition.

February 2018