Advances in Computational Motor Control (ACMC) 2008


Single-trial analysis of neural population activity during motor preparation
B. Yu, J. Cunningham, M. Churchland, G. Santhanam, S. Ryu, M. Sahani and K. Shenoy

Parallels between sensory and motor information processing
E. Todorov

Humans optimally adapt afferent feedback to stabilize unstable loads

A. Schouten, W. Mugge, E. de Vlugt and F. van der Helm

Likelihood calculus: A new mathematical approach to understanding the dynamics of Bayesian controllers with quantized internal representations
T. Sanger

Learning to learn: Environmental consistency modulates motor adaptation rates
N. Castro, M. Hemphill and M. Smith

Optimization strategies in human reinforcement learning

H. Hoffmann, E. Theodorou and S. Schaal

Exploration and exploitation in reward based visuomotor learning
J. Izawa and R. Shadmehr

More bits for behavior: From the movement of C. elegans towards the principles of animal action
G. Stephens and W. Bialek

Adaptation to a sub-optimal desired trajectory

M. Mistry, E. Theodorou, G. Law, T. Yoshioka, S. Schaal and M. Kawato

A Bayesian explanation for curved movement paths

J. Smeets, H. Slijper, J. Richter, E. Over and M. Frens

Optimal feedback control of rhythmic movements: The bouncing ball revisited
R. Ronsse, K. Wei and D. Sternad

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.