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Camilo Libedinsky

Showing results (11-20 of 33) with videos related to

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IEEE Transactions on Neural Systems and Rehabilitation Engineering : a Publication of the IEEE Engineering in Medicine and Biology Society|January 4, 2020
Sparse Ensemble Machine Learning to Improve Robustness of Long-Term Decoding in iBMIsShoeb Shaikh, Rosa So, Tafadzwa Sibindi, et al.
The Journal of Neuroscience : the Official Journal of the Society for Neuroscience|August 22, 2023
Distinct Lateral Prefrontal Regions Are Organized in an Anterior-Posterior Functional GradientPin Kwang Tan, Cheng Tang, Roger Herikstad, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering : a Publication of the IEEE Engineering in Medicine and Biology Society|August 13, 2019
Clustering Neural Patterns in Kernel Reinforcement Learning Assists Fast Brain Control in Brain-Machine InterfacesXiang Zhang, Camilo Libedinsky, Rosa So, et al.
Journal of Neural Engineering|October 7, 2022
Neural correlates of learning in a linear discriminant analysis brain-computer interface paradigmYu Tung Lo, Brian Premchand, Camilo Libedinsky, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|October 25, 2017
Boosting performance in brain-machine interface by classifier-level fusion based on accumulative training models from multi-day dataHuijuan Yang, Camilo Libedinsky, Cuntai Guan, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 11, 2021
Intention Estimation Based Adaptive Unscented Kalman Filter for Online Neural DecodingHan Wei Ng, Brian Premchand, Kyaw Kyar Toe, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|October 25, 2017
Stop state classification in intracortical brain-machine-interfaceTze Hui Koh, Camilo Libedinsky, Cuntai Guan, et al.
Nature Neuroscience|November 30, 2017
Mixed selectivity morphs population codes in prefrontal cortexAishwarya Parthasarathy, Roger Herikstad, Jit Hon Bong, et al.
Cerebral Cortex (New York, N.Y. : 1991)|January 16, 2022
A nonlinear hidden layer enables actor-critic agents to learn multiple paired association navigationM Ganesh Kumar, Cheston Tan, Camilo Libedinsky, et al.
Nature Communications|November 3, 2019
Time-invariant working memory representations in the presence of code-morphing in the lateral prefrontal cortexAishwarya Parthasarathy, Cheng Tang, Roger Herikstad, et al.
Pageof 4

Showing results (11-20 of 33) with videos related to

Sort By:
Pageof 4
IEEE Transactions on Neural Systems and Rehabilitation Engineering : a Publication of the IEEE Engineering in Medicine and Biology Society|January 4, 2020
Sparse Ensemble Machine Learning to Improve Robustness of Long-Term Decoding in iBMIsShoeb Shaikh, Rosa So, Tafadzwa Sibindi, et al.
The Journal of Neuroscience : the Official Journal of the Society for Neuroscience|August 22, 2023
Distinct Lateral Prefrontal Regions Are Organized in an Anterior-Posterior Functional GradientPin Kwang Tan, Cheng Tang, Roger Herikstad, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering : a Publication of the IEEE Engineering in Medicine and Biology Society|August 13, 2019
Clustering Neural Patterns in Kernel Reinforcement Learning Assists Fast Brain Control in Brain-Machine InterfacesXiang Zhang, Camilo Libedinsky, Rosa So, et al.
Journal of Neural Engineering|October 7, 2022
Neural correlates of learning in a linear discriminant analysis brain-computer interface paradigmYu Tung Lo, Brian Premchand, Camilo Libedinsky, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|October 25, 2017
Boosting performance in brain-machine interface by classifier-level fusion based on accumulative training models from multi-day dataHuijuan Yang, Camilo Libedinsky, Cuntai Guan, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 11, 2021
Intention Estimation Based Adaptive Unscented Kalman Filter for Online Neural DecodingHan Wei Ng, Brian Premchand, Kyaw Kyar Toe, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|October 25, 2017
Stop state classification in intracortical brain-machine-interfaceTze Hui Koh, Camilo Libedinsky, Cuntai Guan, et al.
Nature Neuroscience|November 30, 2017
Mixed selectivity morphs population codes in prefrontal cortexAishwarya Parthasarathy, Roger Herikstad, Jit Hon Bong, et al.
Cerebral Cortex (New York, N.Y. : 1991)|January 16, 2022
A nonlinear hidden layer enables actor-critic agents to learn multiple paired association navigationM Ganesh Kumar, Cheston Tan, Camilo Libedinsky, et al.
Nature Communications|November 3, 2019
Time-invariant working memory representations in the presence of code-morphing in the lateral prefrontal cortexAishwarya Parthasarathy, Cheng Tang, Roger Herikstad, et al.
Pageof 4