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Matthew Golub
Matthew Golub
Assistant Professor
Verified email at cs.washington.edu - Homepage
Title
Cited by
Cited by
Year
Neural constraints on learning
PT Sadtler, KM Quick, MD Golub, SM Chase, SI Ryu, EC Tyler-Kabara, ...
Nature 512, 423-426, 2014
5362014
Computation through neural population dynamics
S Vyas, MD Golub, D Sussillo, KV Shenoy
Annual review of neuroscience 43, 249-275, 2020
2222020
Learning by neural reassociation
MD Golub, PT Sadtler, ER Oby, KM Quick, SI Ryu, EC Tyler-Kabara, ...
Nature Neuroscience 21 (4), 607-616, 2018
1632018
New neural activity patterns emerge with long-term learning
ER Oby, MD Golub, JA Hennig, AD Degenhart, EC Tyler-Kabara, BM Yu, ...
Proceedings of the National Academy of Sciences 116 (30), 15210-15215, 2019
1272019
Universality and individuality in neural dynamics across large populations of recurrent networks
N Maheswaranathan, A Williams, M Golub, S Ganguli, D Sussillo
Advances in neural information processing systems 32, 2019
912019
Brain–computer interfaces for dissecting cognitive processes underlying sensorimotor control
MD Golub, SM Chase, AP Batista, BM Yu
Current Opinion in Neurobiology 37, 53-58, 2016
862016
Motor cortical control of movement speed with implications for brain-machine interface control
MD Golub, BM Yu, AB Schwartz, SM Chase
Journal of neurophysiology 112 (2), 411-429, 2014
632014
Reverse engineering recurrent networks for sentiment classification reveals line attractor dynamics
N Maheswaranathan, A Williams, M Golub, S Ganguli, D Sussillo
Advances in neural information processing systems 32, 2019
562019
Internal models for interpreting neural population activity during sensorimotor control
MD Golub, BM Yu, SM Chase
eLife 4, e10015, 2015
472015
Constraints on neural redundancy
JA Hennig, MD Golub, PJ Lund, PT Sadtler, ER Oby, KM Quick, SI Ryu, ...
eLife 7, e36774, 2018
432018
Learning an internal dynamics model from control demonstration
MD Golub, SM Chase, BM Yu
International Conference on Machine Learning (ICML) 28 (1), 606-614, 2013
362013
Internal models engaged by brain-computer interface control
MD Golub, M Yu, Byron, SM Chase
IEE Engineering in Medicine and Biology Society, 1327-1330, 2012
302012
Learning is shaped by abrupt changes in neural engagement
JA Hennig, ER Oby, MD Golub, LA Bahureksa, PT Sadtler, KM Quick, ...
Nature Neuroscience 24 (5), 727-736, 2021
282021
FixedPointFinder: A Tensorflow toolbox for identifying and characterizing fixed points in recurrent neural networks
MD Golub, D Sussillo
Journal of Open Source Software 3 (31), 1003, 2018
252018
Cortical preparatory activity indexes learned motor memories
X Sun, DJ O’Shea, MD Golub, EM Trautmann, S Vyas, SI Ryu, KV Shenoy
Nature 602 (7896), 274-279, 2022
132022
Computation through cortical dynamics
LN Driscoll, MD Golub, D Sussillo
Neuron 98 (5), 873-875, 2018
122018
Skill-specific changes in cortical preparatory activity during motor learning
X Sun, DJ O’Shea, MD Golub, EM Trautmann, S Vyas, SI Ryu, KV Shenoy
bioRxiv, 2020.01. 30.919894, 2020
92020
Line attractor dynamics in recurrent networks for sentiment classification
N Maheswaranathan, AH Williams, MD Golub, S Ganguli, D Sussillo
International Conference on Machine Learning (ICML) Workshop: Deep Phenomena, 2019
22019
Learning alters neural activity to simultaneously support memory and action
DM Losey, JA Hennig, ER Oby, MD Golub, PT Sadlter, KM Quick, SI Ryu, ...
bioRxiv, 2022.07. 05.498856, 2022
2022
Method of incremental training to create new patterns of physiological control signals
ER Oby, AP Batista, SM Chase, AD Degenhart, MD Golub, PT Sadtler, ...
US Patent App. 17/343,050, 2021
2021
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