Jonathan Kao
Citata da
Citata da
A high-performance neural prosthesis enabled by control algorithm design
V Gilja, P Nuyujukian, CA Chestek, JP Cunningham, MY Byron, JM Fan, ...
Nature neuroscience 15 (12), 1752-1757, 2012
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 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), 1-12, 2015
Making brain–machine interfaces robust to future neural variability
D Sussillo, SD Stavisky, JC Kao, SI Ryu, KV Shenoy
Nature communications 7, 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
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
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
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
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
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
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
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
Fine scale mapping of genomic introgressions within the Drosophila yakuba clade
DA Turissini, DR Matute
PLoS genetics 13 (9), e1006971, 2017
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
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
Trial-by-trial motor cortical correlates of a rapidly adapting visuomotor internal model
SD Stavisky, JC Kao, SI Ryu, KV Shenoy
Journal of Neuroscience 37 (7), 1721-1732, 2017
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
Investigating the role of firing-rate normalization and dimensionality reduction in brain-machine interface robustness
JC Kao, P Nuyujukian, S Stavisky, SI Ryu, S Ganguli, KV Shenoy
2013 35th Annual International Conference of the IEEE Engineering in…, 2013
Leveraging neural dynamics to extend functional lifetime of brain-machine interfaces
JC Kao, SI Ryu, KV Shenoy
Scientific reports 7 (1), 1-16, 2017
Il sistema al momento non pu eseguire l'operazione. Riprova pi tardi.
Articoli 1–20