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Matthew D. Golub, Ph.D. - Publications

Affiliations: 
2009-2015 Electrical & Computer Engineering Carnegie Mellon University, Pittsburgh, PA 
 2017-2022 Electrical Engineering Stanford University, Palo Alto, CA 
 2022- Computer Science & Engineering University of Washington, Seattle, Seattle, WA 
Area:
Machine learning for neuroscience; motor control, learning, decision making, brain-machine interfaces.
Website:
https://homes.cs.washington.edu/~mgolub/
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21 high-probability publications. We are testing a new system for linking publications to authors. You can help! If you notice any inaccuracies, please sign in and mark papers as correct or incorrect matches. If you identify any major omissions or other inaccuracies in the publication list, please let us know.

Year Citation  Score
2024 Wagenmaker A, Mi L, Rozsa M, Bull MS, Svoboda K, Daie K, Golub MD, Jamieson K. Active learning of neural population dynamics using two-photon holographic optogenetics. Arxiv. PMID 39679275  0.473
2024 Losey DM, Hennig JA, Oby ER, Golub MD, Sadtler PT, Quick KM, Ryu SI, Tyler-Kabara EC, Batista AP, Yu BM, Chase SM. Learning leaves a memory trace in motor cortex. Current Biology : Cb. 34: 1519-1531.e4. PMID 38531360 DOI: 10.1016/j.cub.2024.03.003  0.778
2022 Sun X, O'Shea DJ, Golub MD, Trautmann EM, Vyas S, Ryu SI, Shenoy KV. Cortical preparatory activity indexes learned motor memories. Nature. PMID 35082444 DOI: 10.1038/s41586-021-04329-x  0.807
2021 Hennig JA, Oby ER, Golub MD, Bahureksa LA, Sadtler PT, Quick KM, Ryu SI, Tyler-Kabara EC, Batista AP, Chase SM, Yu BM. Learning is shaped by abrupt changes in neural engagement. Nature Neuroscience. PMID 33782622 DOI: 10.1038/s41593-021-00822-8  0.8
2020 Vyas S, Golub MD, Sussillo D, Shenoy KV. Computation Through Neural Population Dynamics. Annual Review of Neuroscience. 43: 249-275. PMID 32640928 DOI: 10.1146/Annurev-Neuro-092619-094115  0.795
2019 Maheswaranathan N, Williams AH, Golub MD, Ganguli S, Sussillo D. Reverse engineering recurrent networks for sentiment classification reveals line attractor dynamics. Advances in Neural Information Processing Systems. 32: 15696-15705. PMID 32782423  0.779
2019 Maheswaranathan N, Williams AH, Golub MD, Ganguli S, Sussillo D. Universality and individuality in neural dynamics across large populations of recurrent networks. Advances in Neural Information Processing Systems. 2019: 15629-15641. PMID 32782422  0.813
2019 Oby ER, Golub MD, Hennig JA, Degenhart AD, Tyler-Kabara EC, Yu BM, Chase SM, Batista AP. New neural activity patterns emerge with long-term learning. Proceedings of the National Academy of Sciences of the United States of America. PMID 31182595 DOI: 10.1073/Pnas.1820296116  0.779
2018 Hennig JA, Golub MD, Lund PJ, Sadtler PT, Oby ER, Quick KM, Ryu SI, Tyler-Kabara EC, Batista AP, Yu BM, Chase SM. Constraints on neural redundancy. Elife. 7. PMID 30109848 DOI: 10.7554/Elife.36774  0.782
2018 Golub MD, Sadtler PT, Oby ER, Quick KM, Ryu SI, Tyler-Kabara EC, Batista AP, Chase SM, Yu BM. Publisher Correction: Learning by neural reassociation. Nature Neuroscience. PMID 29976964 DOI: 10.1038/S41593-018-0185-2  0.765
2018 Driscoll LN, Golub MD, Sussillo D. Computation through Cortical Dynamics. Neuron. 98: 873-875. PMID 29879388 DOI: 10.1016/J.Neuron.2018.05.029  0.78
2018 Golub MD, Sadtler PT, Oby ER, Quick KM, Ryu SI, Tyler-Kabara EC, Batista AP, Chase SM, Yu BM. Learning by neural reassociation. Nature Neuroscience. PMID 29531364 DOI: 10.1038/S41593-018-0095-3  0.833
2018 Hennig JA, Golub MD, Lund PJ, Sadtler PT, Oby ER, Quick KM, Ryu SI, Tyler-Kabara EC, Batista AP, Yu BM, Chase SM. Author response: Constraints on neural redundancy Elife. DOI: 10.7554/Elife.36774.027  0.766
2018 Golub M, Sussillo D. FixedPointFinder: A Tensorflow toolbox for identifying and characterizing fixed points in recurrent neural networks Journal of Open Source Software. 3: 1003. DOI: 10.21105/Joss.01003  0.777
2016 Golub MD, Chase SM, Batista AP, Yu BM. Brain-computer interfaces for dissecting cognitive processes underlying sensorimotor control. Current Opinion in Neurobiology. 37: 53-58. PMID 26796293 DOI: 10.1016/J.Conb.2015.12.005  0.782
2015 Golub MD, Yu BM, Chase SM. Internal models for interpreting neural population activity during sensorimotor control. Elife. 4. PMID 26646183 DOI: 10.7554/Elife.10015  0.831
2015 Golub MD, Yu BM, Chase SM. Author response: Internal models for interpreting neural population activity during sensorimotor control Elife. DOI: 10.7554/Elife.10015.023  0.802
2014 Sadtler PT, Quick KM, Golub MD, Chase SM, Ryu SI, Tyler-Kabara EC, Yu BM, Batista AP. Neural constraints on learning. Nature. 512: 423-6. PMID 25164754 DOI: 10.1038/Nature13665  0.831
2014 Golub MD, Yu BM, Schwartz AB, Chase SM. Motor cortical control of movement speed with implications for brain-machine interface control. Journal of Neurophysiology. 112: 411-29. PMID 24717350 DOI: 10.1152/Jn.00391.2013  0.781
2013 Golub MD, Chase SM, Yu BM. Learning an Internal Dynamics Model from Control Demonstration. Jmlr Workshop and Conference Proceedings. 606-614. PMID 24562322  0.777
2012 Golub MD, Yu BM, Chase SM. Internal models engaged by brain-computer interface control. Conference Proceedings : ... Annual International Conference of the Ieee Engineering in Medicine and Biology Society. Ieee Engineering in Medicine and Biology Society. Annual Conference. 2012: 1327-30. PMID 23366143 DOI: 10.1109/EMBC.2012.6346182  0.822
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