Advances
in Computational Motor Control II
Symposium at the Society for Neuroscience Conference
Friday, November 7, 2003
Room 288-290, Morial Convention Center, New Orleans
1:00-2:00 Registration
2:00-2:05 Opening Remarks
2:05-3:35 Session 1
·
Invited talk: Stefan
Schaal. University of Southern California.
A computational approach to motor control and
learning with motor primitives
·
James Patton, Sandro Mussa-Ivaldi,
Y. Wei, M. Phillips, M. Stoykov.
Northwestern University. Exploiting sensorimotor adaptation
·
Steve Massaquoi. MIT.
Stabilization of cerebrocerebellar feedback
control without internal dynamic models
·
Opher Donchin and Reza
Shadmehr. Johns Hopkins
University. Can
training change the desired trajectory?
3:35-3:50 Break
3:50-5:45 Session 2
·
Ken Ohta, Rafael
Laboissiere, Mikhail Svinin. Max Planck
Institute for Pscyhological Research and RIKEN. Optimal trajectory of human arm reaching
movements in dynamical environments
·
Emmanuel Guigon, Pierre
Baraduc, Michel Desmurget. INSERM
France. Constant
effort computation as a determinant of motor behavior
·
Emanuel Todorov. University of California San Diego. Stochastic optimal
feedback control of nonlinear biomechanical systems
·
Zhaoping Li, Alex
Lewis, Silvia Scarpetta. University
College London and University of Salerno, Italy. Computational understanding of the
neural circuit for the central pattern generator for locomotion and its control
in lamprey
·
Madhusudhan Venkadesan,
Francisco Valero-Cuevas, John Guckenheimer.
Cornell University. The boundary of instability as a powerful experimental
paradigm for understanding complex dynamical sensorimotor behavior: dexterous
manipulation as an example
5:45-7:30 Break
7:30-9:30 Session 3
·
Invited talk: Richard
Andersen. CalTech. Coordinate transformations for sensory
guided movements
·
A. Roitman, S. Pasalar,
and Tim Ebner. University of
Minnesota. Models
of Purkinje cell discharge during circular manual tracking in monkey
·
Edward Boyden, Richard
Tsien, Talal Chatila, Jennifer Raymond. Stanford University. Is oppositely directed motor learning implemented with
inverse plasticity mechanisms?
·
Paul Cisek. University of Montreal. A computational model
of reach decisions in the primate cerebral cortex
·
Dana Cohen and Miguel
Nicolelis. Duke University. Uncertainty reduction
at the neuronal ensemble but not in single neurons during motor skill learning
9:30-9:35 Closing Remarks