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Journal of Neurophysiology|April 11, 2014
Motor cortical control of movement speed with implications for brain-machine interface controlMatthew D Golub, Byron M Yu, Andrew B Schwartz, et al.JMLR Workshop and Conference Proceedings|February 25, 2014
Learning an Internal Dynamics Model from Control DemonstrationMatthew D Golub, Steven M Chase, Byron M YuAnnual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|February 1, 2013
Internal models engaged by brain-computer interface controlMatthew D Golub, Byron M Yu, Steven M ChaseElife|December 10, 2015
Internal models for interpreting neural population activity during sensorimotor controlMatthew D Golub, Byron M Yu, Steven M ChaseCurrent Opinion in Neurobiology|January 23, 2016
Brain-computer interfaces for dissecting cognitive processes underlying sensorimotor controlMatthew D Golub, Steven M Chase, Aaron P Batista, et al.Progress in Brain Research|July 19, 2011
Inference from populations: going beyond modelsSteven M Chase, Andrew B SchwartzThe Journal of Neuroscience : the Official Journal of the Society for Neuroscience|October 15, 2010
Latent inputs improve estimates of neural encoding in motor cortexSteven M Chase, Andrew B Schwartz, Robert E KassJournal of Neurophysiology|April 13, 2012
Behavioral and neural correlates of visuomotor adaptation observed through a brain-computer interface in primary motor cortexSteven M Chase, Robert E Kass, Andrew B SchwartzNeural Networks : the Official Journal of the International Neural Network Society|June 9, 2009
Bias, optimal linear estimation, and the differences between open-loop simulation and closed-loop performance of spiking-based brain-computer interface algorithmsSteven M Chase, Andrew B Schwartz, Robert E KassNature|August 29, 2014
Neural constraints on learningPatrick T Sadtler, Kristin M Quick, Matthew D Golub, et al.Pageof 15