2006

Advances in Computational Motor Control (ACMC) 2006

Proceedings

Primitives for optimal control

E. Todorov

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

J. Izawa, T. Rane, O. Donchin and Reza Shadmehr

The nervous system independently controls motion and force

V. Chib, M. Krutky, K. Lynch and F. Mussa-Ivaldi

Muscle synergies during locomotion define a flexible substrate for neural control

N. Krouchev, J. Kalaska and T. Drew

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

H. Chen, W. Joiner, R. Shadmehr and D. Zee

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

G. Sing and M. Smith

A cerebellar model for predictive motor control: From reflex to preflex

J. McKinstry, G. Edelman and J. Krichmar

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

M. Ifediba and M. Smith

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

K. Thoroughman and M. Fine

Learning with unstable neural representations: experiment and theory

U. Rokni, A. Richardson, E. Bizzi and S. Seung

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

H. Tanaka, T. Sejnowski and J. Krakauer

Physically-based model for decoding motor-cortical activity

G. Shakhnarovich, S. Kim and M. Black

This symposium is held as a satellite to the annual Society for Neuroscience meeting.  All submissions are peer-reviewed and those with the highest scores are included in the program.  The acceptance rate is below 50%.

Sponsored by the United States National Institutes of Health.