Advances in Computational Motor Control

Symposium at the Society for Neuroscience Conference

Saturday, November 2, 2002

Room 204A, Orange County Convention Center, Orlando FL

8:00-9:00 Registration

9:00-9:05 Opening Remarks

9:05-10:35 Neurophysiology

· Eb Fetz, University of Washington. “Distributed and multiplexed coding of movement parameters in neural populations”

· Paul Cisek, University of Montreal. “Think before you act, but prepare an assortment of partial actions before you think”

· Joshua Brown, Daniel Bullock, Stephen Grossberg. Boston University. “A computational neural model of laminar frontal cortex and basal ganglia interactions in movement control”.

· Rony Paz, Thomas Boraud, Chen Natan, Hagai Bergman, and Eilon Vaadia. Hebrew University, CNRS, and Universite Victor Segalen. “Preparatory activity in motor cortex reflects consolidation of specific internal models”

10:35-10:50 Break

10:50-12:20 Control of Musculoskeletal Dynamics

· Jerry Loeb, University of Southern California. “Model based analysis of sensimotor control strategies”.

· Dmitry Ivashko, Boris I. Prilutsky, John K. Chapin, and Ilya A. Rybak. Drexel University, Georgia Institute of Technology, State University of New York, Brooklyn. “Modeling neural control of hindlimb movement during cat locomotion”.

· Yoram Yekutieli, R. Sagiv, B. Hochner, T. Flash. Hebrew University and Weizmann Institute of Science. “Studying octopus motor control using a computerized dynamic model”.

· Andrea D’Avella and Emilio Bizzi. Massachusetts Institute of Technology. “Time-varying muscle synergies as low-level control modules”.

12:20-2:00 Lunch (on your own)

2:00-3:30 Motor Adaptation

· Sandro Mussa-Ivaldi, Northwestern University. “Learning and adaptive control of arm dynamics”

· Opher Donchin and Reza Shadmehr, Johns Hopkins University. “Uncovering representation from trial-to-trial changes in performance during adaptation”.

· David Franklin, Rieko Osu, Etienne Burdet, Mitsuo Kawato, and Theodore E. Milner. ATR, Simon Fraser University, and National University of Singapore. “A computational model of adaptation to novel stable and unstable dynamics”

· Emanuel Todorov. University of California San Diego. “Interpreting motor adaptation results within the framework of optimal feedback control”.

3:30-3:45 Break

3:45-5:15 Optimal Control and Learning

· Andy Barto, University of Massachusetts. “Reinforcement learning in motor control”

· Kurt Thoroughman, Wei Wang. Washington University. “Minimization of jerk, not torque change or end point error, mimics human movement in dynamically perturbing environments”

· Elizabeth Torres. California Institute of Technology. “A model of dimensionality reduction in goal-oriented motions”.

· Brandon Rohrer, Hermano Igo Krebs, Bruce Volpe, Walter Frontera, Joel Stein, Neville Hogan. Sandia National Labs, MIT, Cornell University, Spaulding Rehabilitation Hospital. “Patterns in stroke patients’ submovements support adaptive forward/inverse learning model”.

5:15-5:30 Closing Remarks