2006

2006 Advances in Computational Motor Control

Symposium at the Society for Neuroscience Conference

Friday, October 13, 2006

Room C301, Georgia World Congress

1:00-3:15       Session 1

• Invited talk: Chris Atkeson (Carnegie Mellon University)

• Using Humanoids To Develop Computational Models of Human Behavior

• Emo Todorov (UC San Diego)

• Primitives for Optimal Control

• Jun Izawa, Tushar Rane, Opher Donchin, Reza Shadmehr (Johns Hopkins University)

• Changing the noise in dynamics of reaching predictably changes control of reaching

• Vikram Chib, M. Krutky, K. Lynch, Sandro Mussa-Ivaldi (Northwestern University)

• The Nervous System Independently Controls Motion and Force

• Nedialko Krouchev, J. Kalaska, T. Drew (University of Montreal)

• Muscle synergies during locomotion define a flexible substrate for neural control

3:15-3:30       Break

3:30-5:30       Session 2

• Haiyin Chen, Wil Joiner, Reza Shadmehr, David Zee (Johns Hopkins University)

• Adaptation induces curvature in saccades, revealing multiple time-scales of plasticity

• Gary Sing, Maurice Smith (Harvard University)

• Patterns of anterograde interference in reaching arm movements explained by a multi-rate learning model

• Jeff McKinstry, G. Edelman, J. Krichmar (Neurosciences Institute)

• A cerebellar model for predictive motor control: from reflex to preflex

• Marytheresa Ifediba, Maurice Smith (Harvard University)

• Long-term retention in the adaptive control of reaching explained by a model of short-term learning

• Kurt Thoroughman, Michael Fine (Washington University)

• Modeling neural representations of sensory feedback and changes in motor adaptive strategy

5:30-7:00      Dinner (on your own)

7:00-8:40       Session 3

• Invited talk: Mike Shadlen (University of Washington)

• The neurobiology of  decision making, or how I stopped deliberating and learned to love the bound

• Uri Rokni, A. Richardson, E. Bizzi, S. Seung;  (MIT)

• Learning with unstable neural representations: experiment and theory

• Hirokazu Tanaka, Terry Sejnowski, John Krakauer;  (Salk Institute and Columbia Univ.)

• Narrow directional tuning explains both post-adaptation and trial-to-trial generalization patterns for visuomotor rotation learning

• Gregory Shakhnarovich, S. Kim, M. Black  (Brown University)

• Physically-based model for decoding motor-cortical activity

Symposium Organizers:  

Emo Todorov, University of California, San Diego

Reza Shadmehr, Johns Hopkins University