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Han-Lin Hsieh

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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|January 7, 2016
Optimal calibration of the learning rate in closed-loop adaptive brain-machine interfacesHan-Lin Hsieh, Maryam M Shanechi
Plos Computational Biology|May 30, 2018
Optimizing the learning rate for adaptive estimation of neural encoding modelsHan-Lin Hsieh, Maryam M Shanechi
... International Conference on Learning Representations|May 14, 2026
Probabilistic Geometric Principal Component Analysis with application to neural dataHan-Lin Hsieh, Maryam M Shanechi
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|March 9, 2017
Multiscale brain-machine interface decodersHan-Lin Hsieh, Maryam M Shanechi
Arxiv|October 3, 2025
Probabilistic Geometric Principal Component Analysis with application to neural dataHan-Lin Hsieh, Maryam M Shanechi
IEEE Transactions on Neural Systems and Rehabilitation Engineering : a Publication of the IEEE Engineering in Medicine and Biology Society|April 26, 2019
A Multiscale Dynamical Modeling and Identification Framework for Spike-Field ActivityHamidreza Abbaspourazad, Han-Lin Hsieh, Maryam M Shanechi
Journal of Neural Engineering|December 8, 2018
Multiscale modeling and decoding algorithms for spike-field activityHan-Lin Hsieh, Yan T Wong, Bijan Pesaran, et al.
Journal of Neural Engineering|October 19, 2022
Modeling and inference methods for switching regime-dependent dynamical systems with multiscale neural observationsChristian Y Song, Han-Lin Hsieh, Bijan Pesaran, et al.
Journal of Neural Engineering|March 24, 2026
Unsupervised learning of multiscale switching dynamical system models from multimodal neural dataDongKyu Kim, Christian Y Song, Han-Lin Hsieh, 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
Multiscale decoding for reliable brain-machine interface performance over timeHan-Lin Hsieh, Yan T Wong, Bijan Pesaran, et al.
Pageof 1

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

Sort By:
Pageof 1
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
Optimal calibration of the learning rate in closed-loop adaptive brain-machine interfacesHan-Lin Hsieh, Maryam M Shanechi
Plos Computational Biology|May 30, 2018
Optimizing the learning rate for adaptive estimation of neural encoding modelsHan-Lin Hsieh, Maryam M Shanechi
... International Conference on Learning Representations|May 14, 2026
Probabilistic Geometric Principal Component Analysis with application to neural dataHan-Lin Hsieh, Maryam M Shanechi
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|March 9, 2017
Multiscale brain-machine interface decodersHan-Lin Hsieh, Maryam M Shanechi
Arxiv|October 3, 2025
Probabilistic Geometric Principal Component Analysis with application to neural dataHan-Lin Hsieh, Maryam M Shanechi
IEEE Transactions on Neural Systems and Rehabilitation Engineering : a Publication of the IEEE Engineering in Medicine and Biology Society|April 26, 2019
A Multiscale Dynamical Modeling and Identification Framework for Spike-Field ActivityHamidreza Abbaspourazad, Han-Lin Hsieh, Maryam M Shanechi
Journal of Neural Engineering|December 8, 2018
Multiscale modeling and decoding algorithms for spike-field activityHan-Lin Hsieh, Yan T Wong, Bijan Pesaran, et al.
Journal of Neural Engineering|October 19, 2022
Modeling and inference methods for switching regime-dependent dynamical systems with multiscale neural observationsChristian Y Song, Han-Lin Hsieh, Bijan Pesaran, et al.
Journal of Neural Engineering|March 24, 2026
Unsupervised learning of multiscale switching dynamical system models from multimodal neural dataDongKyu Kim, Christian Y Song, Han-Lin Hsieh, 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
Multiscale decoding for reliable brain-machine interface performance over timeHan-Lin Hsieh, Yan T Wong, Bijan Pesaran, et al.
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