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The Center for Control, Dynamical Systems, and Computation University of California at Santa Barbara
 

Summary: The Center for Control, Dynamical Systems, and Computation
University of California at Santa Barbara
Winter 2007 Seminar Series
Presents
Identification of Brain Changes with Skill
Learning Based on State Space Models:
Applications in Human Neuroimaging
Scott Grafton
University of California, Santa Barbara
Friday, February 2nd, 2007 3:00pm-4:00pm ESB 2001
Abstract:
Human brain imaging based on magnetic resonance imaging provides a non-invasive
method of identifying neural systems associated with learning and memory. The method
is highly limited in temporal and spatial resolution. Nevertheless, the relative linearity
and reproducibility of responses as well as the ability to examine the entire brain allows
for a number of interesting modeling problems and opportunities to capture brain dy-
namics. Using simple visually guided tracking, the human "as controller" can be inves-
tigated and different sources of performance can be dissociated and linked to specific
brain circuits. Current work focuses on disentangling performance gains associated
with improvements in feedback control policy from those related to generation of a pre-

  

Source: Akhmedov, Azer - Department of Mathematics, University of California at Santa Barbara

 

Collections: Mathematics