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Sergey D Stavisky

Showing results (1-10 of 56) with videos related to

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Annual Review of Biomedical Engineering|January 2, 2025
Restoring Speech Using Brain-Computer InterfacesSergey D Stavisky
Neuron|June 20, 2017
Motor Cortical Visuomotor Feedback Activity Is Initially Isolated from Downstream Targets in Output-Null Neural State Space DimensionsSergey D Stavisky, Jonathan C Kao, Stephen I Ryu, et al.
The Journal of Neuroscience : the Official Journal of the Society for Neuroscience|January 15, 2017
Trial-by-Trial Motor Cortical Correlates of a Rapidly Adapting Visuomotor Internal ModelSergey D Stavisky, Jonathan C Kao, Stephen I Ryu, et al.
International IEEE/EMBS Conference on Neural Engineering : [Proceedings]. International IEEE EMBS Conference on Neural Engineering|September 26, 2024
Using Automatic Speech Recognition to Measure the Intelligibility of Speech Synthesized from Brain SignalsSuvi Varshney, Dana Farias, David M Brandman, et al.
Journal of Neural Engineering|May 7, 2015
A high performing brain-machine interface driven by low-frequency local field potentials alone and together with spikesSergey D Stavisky, Jonathan C Kao, Paul Nuyujukian, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 9, 2015
Hybrid decoding of both spikes and low-frequency local field potentials for brain-machine interfacesSergey D Stavisky, Jonathan C Kao, Paul Nuyujukian, et al.
Nature Communications|December 14, 2016
Making brain-machine interfaces robust to future neural variabilityDavid Sussillo, Sergey D Stavisky, Jonathan C Kao, et al.
Nature Communications|January 21, 2017
Corrigendum: Making brain-machine interfaces robust to future neural variabilityDavid Sussillo, Sergey D Stavisky, Jonathan C Kao, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 7, 2016
Auto-deleting brain machine interface: Error detection using spiking neural activity in the motor cortexNir Even-Chen, Sergey D Stavisky, Jonathan C Kao, et al.
Journal of Neural Engineering|November 14, 2017
Augmenting intracortical brain-machine interface with neurally driven error detectorsNir Even-Chen, Sergey D Stavisky, Jonathan C Kao, et al.
Pageof 6

Showing results (1-10 of 56) with videos related to

Sort By:
Pageof 6
Annual Review of Biomedical Engineering|January 2, 2025
Restoring Speech Using Brain-Computer InterfacesSergey D Stavisky
Neuron|June 20, 2017
Motor Cortical Visuomotor Feedback Activity Is Initially Isolated from Downstream Targets in Output-Null Neural State Space DimensionsSergey D Stavisky, Jonathan C Kao, Stephen I Ryu, et al.
The Journal of Neuroscience : the Official Journal of the Society for Neuroscience|January 15, 2017
Trial-by-Trial Motor Cortical Correlates of a Rapidly Adapting Visuomotor Internal ModelSergey D Stavisky, Jonathan C Kao, Stephen I Ryu, et al.
International IEEE/EMBS Conference on Neural Engineering : [Proceedings]. International IEEE EMBS Conference on Neural Engineering|September 26, 2024
Using Automatic Speech Recognition to Measure the Intelligibility of Speech Synthesized from Brain SignalsSuvi Varshney, Dana Farias, David M Brandman, et al.
Journal of Neural Engineering|May 7, 2015
A high performing brain-machine interface driven by low-frequency local field potentials alone and together with spikesSergey D Stavisky, Jonathan C Kao, Paul Nuyujukian, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 9, 2015
Hybrid decoding of both spikes and low-frequency local field potentials for brain-machine interfacesSergey D Stavisky, Jonathan C Kao, Paul Nuyujukian, et al.
Nature Communications|December 14, 2016
Making brain-machine interfaces robust to future neural variabilityDavid Sussillo, Sergey D Stavisky, Jonathan C Kao, et al.
Nature Communications|January 21, 2017
Corrigendum: Making brain-machine interfaces robust to future neural variabilityDavid Sussillo, Sergey D Stavisky, Jonathan C Kao, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 7, 2016
Auto-deleting brain machine interface: Error detection using spiking neural activity in the motor cortexNir Even-Chen, Sergey D Stavisky, Jonathan C Kao, et al.
Journal of Neural Engineering|November 14, 2017
Augmenting intracortical brain-machine interface with neurally driven error detectorsNir Even-Chen, Sergey D Stavisky, Jonathan C Kao, et al.
Pageof 6