Advances in Computational Motor Control V

 

Symposium at the Society for Neuroscience Conference

Friday, October 13, 2006

Room C301, Georgia World Congress Center

 

12:00-1:00     Registration

 

1:00-1:05       Opening Remarks

 

1:05-3:15       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”