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Neural Computation|November 23, 2017
A Single, Continuously Applied Control Policy for Modeling Reaching Movements with and without PerturbationZhe Li, Pietro Mazzoni, Sen Song, et al.Vision Research|July 11, 2006
Cross-fixation transfer of motion aftereffects with expansion motionXin Meng, Pietro Mazzoni, Ning QianNeural Computation|January 1, 2013
Movement duration, Fitts's law, and an infinite-horizon optimal feedback control model for biological motor systemsNing Qian, Yu Jiang, Zhong-Ping Jiang, et al.Neural Computation|February 25, 2015
Solving stereo transparency with an extended coarse-to-fine disparity energy modelZhe Li, Ning QianIEEE Transactions on Neural Networks and Learning Systems|February 23, 2019
Evaluate the Malignancy of Pulmonary Nodules Using the 3-D Deep Leaky Noisy-OR NetworkFangzhou Liao, Ming Liang, Zhe Li, et al.The Journal of Neuroscience : the Official Journal of the Society for Neuroscience|April 7, 2006
An implicit plan overrides an explicit strategy during visuomotor adaptationPietro Mazzoni, John W KrakauerCurrent Opinion in Neurobiology|July 19, 2011
Human sensorimotor learning: adaptation, skill, and beyondJohn W Krakauer, Pietro MazzoniPlos One|October 23, 2009
Parallel explicit and implicit control of reachingPietro Mazzoni, Nancy S WexlerThe Journal of Neuroscience : the Official Journal of the Society for Neuroscience|July 6, 2007
Why don't we move faster? Parkinson's disease, movement vigor, and implicit motivationPietro Mazzoni, Anna Hristova, John W KrakauerJournal of Neurophysiology|April 20, 2012
How is a motor skill learned? Change and invariance at the levels of task success and trajectory controlLior Shmuelof, John W Krakauer, Pietro MazzoniPageof 336