Advances in Computational Motor Control (ACMC) 2011



Structure of motor variability predicts differences in motor learning rates
Yohsuke Miyamoto, Howard Wu, Bence Ölveczky and Maurice A Smith
On the origins of motor noise
Kris Chaisanguanthum, Helen Shen and Philip Sabes

Motor coordination is habitual rather than optimal
Aymar de Rugy, Gerald Loeb and Timothy Carroll

Purkinje cells compute sensory prediction errors
Laurentiu Popa, Angela Hewitt and Timothy Ebner

Inactivation of PRR induces hypometric reaches similar to optic ataxia
EunJung Hwang, Markus Hauschild, Melanie Wilke and Richard Andersen

An optimal control model of the compensatory eye movement system
Ginzburg, M., Sibindi T., Frens. M. and and Donchin, O.

Internal models and their many coordinate frames
Max Berniker and Konrad Kording

Decoding arm kinematics from ECoG Signals in humans during a reach task
Chandan Reddy, Oliver Flouty, Hiroto Kawasaki, Hiroyuki Oya, Lee Miller and Matthew Howard III

Selection of arm movements during evidence accumulation
Jason Friedman and Matthew Finkbeiner

Evidence for model-free learning during force field adaptation
Adrian Haith, Sarah Pekny, Reza Shadmehr and John Krakauer

Seeking safe strategies for transporting complex objects
Christopher Hasson, Tian Shen and Dagmar Sternad