Jonathan Kao
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Inferring single-trial neural population dynamics using sequential auto-encoders
C Pandarinath, DJ O’Shea, J Collins, R Jozefowicz, SD Stavisky, JC Kao, ...
Nature methods 15 (10), 805-815, 2018
A high-performance neural prosthesis enabled by control algorithm design
V Gilja, P Nuyujukian, CA Chestek, JP Cunningham, BM Yu, JM Fan, ...
Nature neuroscience 15 (12), 1752-1757, 2012
A recurrent neural network for closed-loop intracortical brain–machine interface decoders
D Sussillo, P Nuyujukian, JM Fan, JC Kao, SD Stavisky, S Ryu, K Shenoy
Journal of neural engineering 9 (2), 026027, 2012
Single-trial dynamics of motor cortex and their applications to brain-machine interfaces
JC Kao, P Nuyujukian, SI Ryu, MM Churchland, JP Cunningham, ...
Nature communications 6 (1), 7759, 2015
Making brain–machine interfaces robust to future neural variability
D Sussillo, SD Stavisky, JC Kao, SI Ryu, KV Shenoy
Nature communications 7 (1), 13749, 2016
A high performing brain–machine interface driven by low-frequency local field potentials alone and together with spikes
SD Stavisky, JC Kao, P Nuyujukian, SI Ryu, KV Shenoy
Journal of neural engineering 12 (3), 036009, 2015
Motor cortical visuomotor feedback activity is initially isolated from downstream targets in output-null neural state space dimensions
SD Stavisky, JC Kao, SI Ryu, KV Shenoy
Neuron 95 (1), 195-208. e9, 2017
Latent factors and dynamics in motor cortex and their application to brain–machine interfaces
C Pandarinath, KC Ames, AA Russo, A Farshchian, LE Miller, EL Dyer, ...
Journal of Neuroscience 38 (44), 9390-9401, 2018
Information systems opportunities in brain–machine interface decoders
JC Kao, SD Stavisky, D Sussillo, P Nuyujukian, KV Shenoy
Proceedings of the IEEE 102 (5), 666-682, 2014
A low-power band of neuronal spiking activity dominated by local single units improves the performance of brain–machine interfaces
SR Nason, AK Vaskov, MS Willsey, EJ Welle, H An, PP Vu, AJ Bullard, ...
Nature biomedical engineering 4 (10), 973-983, 2020
Intention estimation in brain–machine interfaces
JM Fan, P Nuyujukian, JC Kao, CA Chestek, SI Ryu, KV Shenoy
Journal of neural engineering 11 (1), 016004, 2014
Decoding and perturbing decision states in real time
D Peixoto, JR Verhein, R Kiani, JC Kao, P Nuyujukian, ...
Nature 591 (7851), 604-609, 2021
A high-performance neural prosthesis incorporating discrete state selection with hidden Markov models
JC Kao, P Nuyujukian, SI Ryu, KV Shenoy
IEEE Transactions on Biomedical Engineering 64 (4), 935-945, 2016
A high-performance keyboard neural prosthesis enabled by task optimization
P Nuyujukian, JM Fan, JC Kao, SI Ryu, KV Shenoy
IEEE Transactions on Biomedical Engineering 62 (1), 21-29, 2014
Performance sustaining intracortical neural prostheses
P Nuyujukian, JC Kao, JM Fan, SD Stavisky, SI Ryu, KV Shenoy
Journal of neural engineering 11 (6), 066003, 2014
A bubble-powered micro-rotor: conception, manufacturing, assembly and characterization
J Kao, X Wang, J Warren, J Xu, D Attinger
Journal of Micromechanics and Microengineering 17 (12), 2454, 2007
The need for calcium imaging in nonhuman primates: New motor neuroscience and brain-machine interfaces
DJ O'shea, E Trautmann, C Chandrasekaran, S Stavisky, JC Kao, ...
Experimental neurology 287, 437-451, 2017
Coordination of escape and spatial navigation circuits orchestrates versatile flight from threats
W Wang, PJ Schuette, J Nagai, BC Tobias, FMCV Reis, S Ji, ...
Neuron 109 (11), 1848-1860. e8, 2021
Brain machine interface utilizing a discrete action state decoder in parallel with a continuous decoder for a neural prosthetic device
P Nuyujukian, JC Kao, KV Shenoy
US Patent 9,373,088, 2016
Long-term characterization of hippocampal remapping during contextual fear acquisition and extinction
PJ Schuette, FMCV Reis, S Maesta-Pereira, M Chakerian, A Torossian, ...
Journal of Neuroscience 40 (43), 8329-8342, 2020
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