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Arxiv|September 2, 2025
Accurate Identification of Communication Between Multiple Interacting Neural PopulationsBelle Liu, Jacob Sacks, Matthew D GolubProceedings of Machine Learning Research|December 22, 2025
Accurate Identification of Communication Between Multiple Interacting Neural PopulationsBelle Liu, Jacob Sacks, Matthew D GolubNeuron|June 8, 2018
Computation through Cortical DynamicsLaura N Driscoll, Matthew D Golub, David SussilloJMLR 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 ChaseAnnual Review of Neuroscience|July 10, 2020
Computation Through Neural Population DynamicsSaurabh Vyas, Matthew D Golub, David Sussillo, et al.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.Advances in Neural Information Processing Systems|August 13, 2020
Reverse engineering recurrent networks for sentiment classification reveals line attractor dynamicsNiru Maheswaranathan, Alex H Williams, Matthew D Golub, et al.Current 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.Pageof 3