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Derek Xiao
Ken-Fu Liang
Keyu Ji
Jonathan C Kao

Showing results (1-10 of 60) with videos related to

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Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 3, 2025
Using Reinforcement Learning to Investigate Neural Dynamics During Motor LearningDerek Xiao, Ken-Fu Liang, Keyu Ji, et al.
IEEE Transactions on Bio-Medical Engineering|November 26, 2019
Deep Learning Neural Encoders for Motor CortexKen-Fu Liang, Jonathan C Kao
Biorxiv : the Preprint Server for Biology|December 9, 2024
A reinforcement learning based software simulator for motor brain-computer interfacesKen-Fu Liang, Jonathan C Kao
Journal of Neural Engineering|May 12, 2021
An artificial intelligence that increases simulated brain-computer interface performanceSebastian Olsen, Jianwei Zhang, Ken-Fu Liang, et al.
Journal of Neurophysiology|October 18, 2019
Considerations in using recurrent neural networks to probe neural dynamicsJonathan C Kao
Biorxiv : the Preprint Server for Biology|July 28, 2023
The information bottleneck as a principle underlying multi-area cortical representations during decision-makingMichael Kleinman, Tian Wang, Derek Xiao, et al.
Pain|August 21, 2025
Spontaneous pain dynamics characterized by stochasticity in neural recordings of awake humans with chronic painJihye Ryu, Jonathan C Kao, Ausaf Bari
Pain|March 20, 2025
Spontaneous pain dynamics characterized by stochasticity in neural recordings of awake humans with chronic painJihye Ryu, Jonathan C Kao, Ausaf Bari
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
Leveraging historical knowledge of neural dynamics to rescue decoder performance as neural channels are lost: "Decoder hysteresis"Jonathan C Kao, Stephen I Ryu, Krishna V Shenoy
Scientific Reports|August 9, 2017
Leveraging neural dynamics to extend functional lifetime of brain-machine interfacesJonathan C Kao, Stephen I Ryu, Krishna V Shenoy
Pageof 6

Showing results (1-10 of 60) with videos related to

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Pageof 6
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 3, 2025
Using Reinforcement Learning to Investigate Neural Dynamics During Motor LearningDerek Xiao, Ken-Fu Liang, Keyu Ji, et al.
IEEE Transactions on Bio-Medical Engineering|November 26, 2019
Deep Learning Neural Encoders for Motor CortexKen-Fu Liang, Jonathan C Kao
Biorxiv : the Preprint Server for Biology|December 9, 2024
A reinforcement learning based software simulator for motor brain-computer interfacesKen-Fu Liang, Jonathan C Kao
Journal of Neural Engineering|May 12, 2021
An artificial intelligence that increases simulated brain-computer interface performanceSebastian Olsen, Jianwei Zhang, Ken-Fu Liang, et al.
Journal of Neurophysiology|October 18, 2019
Considerations in using recurrent neural networks to probe neural dynamicsJonathan C Kao
Biorxiv : the Preprint Server for Biology|July 28, 2023
The information bottleneck as a principle underlying multi-area cortical representations during decision-makingMichael Kleinman, Tian Wang, Derek Xiao, et al.
Pain|August 21, 2025
Spontaneous pain dynamics characterized by stochasticity in neural recordings of awake humans with chronic painJihye Ryu, Jonathan C Kao, Ausaf Bari
Pain|March 20, 2025
Spontaneous pain dynamics characterized by stochasticity in neural recordings of awake humans with chronic painJihye Ryu, Jonathan C Kao, Ausaf Bari
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
Leveraging historical knowledge of neural dynamics to rescue decoder performance as neural channels are lost: "Decoder hysteresis"Jonathan C Kao, Stephen I Ryu, Krishna V Shenoy
Scientific Reports|August 9, 2017
Leveraging neural dynamics to extend functional lifetime of brain-machine interfacesJonathan C Kao, Stephen I Ryu, Krishna V Shenoy
Pageof 6