2010
Advances in Computational Motor Control (ACMC) 2010
Proceedings
Selection and control of limb posture for stability
David Franklin, Luc Selen, Sae Franklin and Daniel Wolpert
Dynamic intelligence through online optimization
Emanuel Todorov, Yuval Tassa, Paul Kulchenko and Tom Erez
Visuo‐motor learning is guided by the Riemannian structure of the observed kinematics
Zachary Danziger and Ferdinando Mussa‐Ivaldi
The incremental adaptive effect of movement observation differs from that of action
Paul Wanda and Kurt Thoroughman
Vincent Huang, Pietro Mazzoni and John Krakauer
Howard Wu, Gary Sing, Logan Clark, Luis Nicolas Gonzalez Castro, Maurice Smith
Hugo Fernandes, Ian Stevenson and Konrad Kording
Interval timing and its correlates in sensorimotor cortex
Mehrdad Jazayeri and Michael Shadlen
Infinite-horizon optimal control framework for goal-directed movements
Dongsung Huh, Emanuel Todorov and Terrence Sejnowski
Movement duration is selected to maximize the expected rate of reward
Adrian Haith and Reza Shadmehr
Kutch, Valero-Cuevas
Combined intrinsic and extrinsic representation for visuomotor rotation learning
Brayanov, Smith
Movement Duration as an Emergent Property of Reward Directed Motor Control
Rigoux, Sigaud, Terekhov, Guigon
Intermittent visual feedback can boost visuomotor learning of rhythmic movements
Ikegami, Hirashima, Osu, Nozaki
Certainty of the kinematic plan influences arm stiffness during reaching
Yousif, Diedrichsen
Learning to draw after observing a teacher: iCub’s scribbles and shapes
Mohan, Zenzeri, Metta, Morasso, Sandini
Inferring Visuomotor Priors for Sensorimotor Learning
Turnham, Braun, Wolpert
Investigating the Role of Cocontraction and Movement Energetics in Voluntary Arm
Tsianos, Raphael, Loeb
Prior and Likelihood uncertainty are differentially represented in the human brain
Vilares, Fernandes, Kording
Skill learning as training-dependent changes in speed-accuracy trade-off functions
Shmuelof, Zarhan, Krakauer, Mazonni
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.