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Nature Neuroscience|November 25, 2014
A learning-based approach to artificial sensory feedback leads to optimal integrationMaria C Dadarlat, Joseph E O'Doherty, Philip N SabesIEEE Transactions on Haptics|October 15, 2016
Encoding and Decoding of Multi-Channel ICMS in Macaque Somatosensory CortexMaria C Dadarlat, Philip N SabesJournal of Neural Engineering|December 2, 2017
Superior arm-movement decoding from cortex with a new, unsupervised-learning algorithmJoseph G Makin, Joseph E O'Doherty, Mariana M B Cardoso, et al.Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 18, 2020
Cortical Stimulation Induces Network-Wide Coherence Change In Non-Human Primate Somatosensory Cortex.Julien A Bloch, Karam Khateeb, Daniel B Silversmith, et al.Progress in Brain Research|July 12, 2011
Sensory integration for reaching: models of optimality in the context of behavior and the underlying neural circuitsPhilip N SabesJournal of Neurophysiology|January 5, 2007
Calibration of visually guided reaching is driven by error-corrective learning and internal dynamicsSen Cheng, Philip N SabesThe Journal of Neuroscience : the Official Journal of the Society for Neuroscience|July 8, 2011
How each movement changes the next: an experimental and theoretical study of fast adaptive priors in reachingTimothy Verstynen, Philip N SabesNeural Computation|February 24, 2006
Modeling sensorimotor learning with linear dynamical systemsSen Cheng, Philip N SabesNature Neuroscience|March 29, 2005
Flexible strategies for sensory integration during motor planningSamuel J Sober, Philip N SabesThe Journal of Neuroscience : the Official Journal of the Society for Neuroscience|August 9, 2003
Multisensory integration during motor planningSamuel J Sober, Philip N SabesPageof 5