Advances
in Computational Motor Control VI
Symposium
at the Society for Neuroscience Meeting
Friday,
November 2, 2007, 1:00 PM – 9:30 PM
Convention
Center, Room 23A,
1:00-1:05 Opening Remarks
1:05-3:15 Session 1
·
Invited talk:
Goal-Directed Actions, Controllability and Depression
·
D. Braun, D.
Wolpert, A. Aertsen, S. Rotter, R. Pas, E. Vaadia, C. Mehring (Cambridge
University, Hebrew University, and Bernstein Center for Computational
Neuroscience Freiburg)
Adaptive optimal control approaches to
sensorimotor learning
·
Optimal task-dependent changes of
bimanual feedback control and adaptation
·
It takes time for beliefs to converge on
reality: an example from the motor system
3:00-3:15 Coffee break
3:15-5:15 Session 2
·
Invited talk: Dora Angelaki (Washington University)
The Bayesian brain: Lessons from the vestibular system
·
Tianming Yang
and Michael Shadlen (
Evidence accumulation and stopping bounds:
lessons from a probabilistic categorization task
·
Different dynamics of eye-hand coordination
in depth and direction reflect differences in predictive control
·
Heiko Hoffmann
and
Human movement generation based on
convergent flow fields: a computational model and a behavioral experiment
5:15-7:00 Dinner (on your own)
7:00-9:00 Session 3
·
Gary Sing,
The evolution of force profiles in a motor
adaptation task reveals motor
primitives with spindle-like properties that predict the difficulty of
learning different types of force-field perturbations
·
Jordan Taylor
and
Divided attention during motor memory
formation affects specifically fast adaptive processes and alters mid-movement
feedback control
·
Kunlin Wei and
Konrad Kording (
Causal inference in motor adaptation
·
Jordan Brayanov
and
Anticipatory postural adjustments during
the size-weight illusion reveal simultaneous Bayesian and 'anti'-Bayesian
weight estimation