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Journal of Neurophysiology|March 1, 2013
The effect of contextual cues on the encoding of motor memoriesIan S Howard, Daniel M Wolpert, David W FranklinThe Journal of Neuroscience : the Official Journal of the Society for Neuroscience|October 17, 2008
Composition and decomposition in bimanual dynamic learningIan S Howard, James N Ingram, Daniel M WolpertCurrent Biology : CB|January 13, 2015
The value of the follow-through derives from motor learning depending on future actionsIan S Howard, Daniel M Wolpert, David W FranklinJournal of Neuroscience Methods|May 20, 2009
A modular planar robotic manipulandum with end-point torque controlIan S Howard, James N Ingram, Daniel M WolpertJournal of Neurophysiology|August 6, 2010
Context-dependent partitioning of motor learning in bimanual movementsIan S Howard, James N Ingram, Daniel M WolpertScientific Reports|August 12, 2017
Active lead-in variability affects motor memory formation and slows motor learningIan S Howard, Christopher Ford, Angelo Cangelosi, et al.The Science of the Total Environment|June 2, 2023
In silico prediction of acute chemical toxicity of biocides in marine crustaceans using machine learningRama Krishnan, Ian S Howard, Sean Comber, et al.Comprehensive Physiology|December 29, 2023
Behavioral Motor PerformanceRaz Leib, Ian S Howard, Matthew Millard, et al.Plos Computational Biology|October 8, 2011
A single-rate context-dependent learning process underlies rapid adaptation to familiar object dynamicsJames N Ingram, Ian S Howard, J Randall Flanagan, et al.The Journal of Neuroscience : the Official Journal of the Society for Neuroscience|September 14, 2012
Gone in 0.6 seconds: the encoding of motor memories depends on recent sensorimotor statesIan S Howard, James N Ingram, David W Franklin, et al.Pageof 4