Steven M. Chase, Ph.D.
Steven M. Chase, Ph.D.
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Cited by
Cited by
Neural constraints on learning
PT Sadtler, KM Quick, MD Golub, SM Chase, SI Ryu, EC Tyler-Kabara, ...
Nature 512 (7515), 423-426, 2014
Functional network reorganization during learning in a brain-computer interface paradigm
B Jarosiewicz, SM Chase, GW Fraser, M Velliste, RE Kass, AB Schwartz
Proceedings of the National Academy of Sciences 105 (49), 19486-19491, 2008
First-spike latency information in single neurons increases when referenced to population onset
SM Chase, ED Young
Proceedings of the National Academy of Sciences 104 (12), 5175-5180, 2007
Comparison of brain–computer interface decoding algorithms in open-loop and closed-loop control
S Koyama, SM Chase, AS Whitford, M Velliste, AB Schwartz, RE Kass
Journal of computational neuroscience 29 (1-2), 73-87, 2010
Control of a brain–computer interface without spike sorting
GW Fraser, SM Chase, A Whitford, AB Schwartz
Journal of neural engineering 6 (5), 055004, 2009
Bias, optimal linear estimation, and the differences between open-loop simulation and closed-loop performance of spiking-based brain–computer interface algorithms
SM Chase, AB Schwartz, RE Kass
Neural networks 22 (9), 1203-1213, 2009
A reward-modulated hebbian learning rule can explain experimentally observed network reorganization in a brain control task
R Legenstein, SM Chase, AB Schwartz, W Maass
Journal of Neuroscience 30 (25), 8400-8410, 2010
Behavioral and neural correlates of visuomotor adaptation observed through a brain-computer interface in primary motor cortex
SM Chase, RE Kass, AB Schwartz
Journal of neurophysiology 108 (2), 624-644, 2012
To sort or not to sort: the impact of spike-sorting on neural decoding performance
S Todorova, P Sadtler, A Batista, S Chase, V Ventura
Journal of neural engineering 11 (5), 056005, 2014
Limited segregation of different types of sound localization information among classes of units in the inferior colliculus
SM Chase, ED Young
Journal of Neuroscience 25 (33), 7575-7585, 2005
Comprehensive chronic laminar single-unit, multi-unit, and local field potential recording performance with planar single shank electrode arrays
TDY Kozai, Z Du, ZV Gugel, MA Smith, SM Chase, LM Bodily, ...
Journal of neuroscience methods 242, 15-40, 2015
Learning by neural reassociation
MD Golub, PT Sadtler, ER Oby, KM Quick, SI Ryu, EC Tyler-Kabara, ...
Nature neuroscience 21 (4), 607-616, 2018
Spike-timing codes enhance the representation of multiple simultaneous sound-localization cues in the inferior colliculus
SM Chase, ED Young
Journal of Neuroscience 26 (15), 3889-3898, 2006
Brain–computer interfaces for dissecting cognitive processes underlying sensorimotor control
MD Golub, SM Chase, AP Batista, MY Byron
Current opinion in neurobiology 37, 53-58, 2016
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
Cues for sound localization are encoded in multiple aspects of spike trains in the inferior colliculus
SM Chase, ED Young
Journal of neurophysiology 99 (4), 1672-1682, 2008
Latent inputs improve estimates of neural encoding in motor cortex
SM Chase, AB Schwartz, RE Kass
Journal of Neuroscience 30 (41), 13873-13882, 2010
Internal models for interpreting neural population activity during sensorimotor control
MD Golub, MY Byron, SM Chase
Elife 4, e10015, 2015
Single-unit activity, threshold crossings, and local field potentials in motor cortex differentially encode reach kinematics
S Perel, PT Sadtler, ER Oby, SI Ryu, EC Tyler-Kabara, AP Batista, ...
Journal of neurophysiology 114 (3), 1500-1512, 2015
Internal models engaged by brain-computer interface control
MD Golub, MY Byron, SM Chase
2012 Annual International Conference of the IEEE Engineering in Medicine and …, 2012
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