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Shih-Chii Liu

Showing results (21-30 of 40) with videos related to

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Nature Communications|November 11, 2025
Exploiting neuro-inspired dynamic sparsity for energy-efficient intelligent perceptionSheng Zhou, Chang Gao, Tobi Delbruck, et al.
Frontiers in Neuroscience|October 12, 2013
Real-time classification and sensor fusion with a spiking deep belief networkPeter O'Connor, Daniel Neil, Shih-Chii Liu, et al.
Frontiers in Neuroscience|January 30, 2018
Conversion of Continuous-Valued Deep Networks to Efficient Event-Driven Networks for Image ClassificationBodo Rueckauer, Iulia-Alexandra Lungu, Yuhuang Hu, et al.
Frontiers in Neuroscience|April 13, 2018
A Comparison of Low-Complexity Real-Time Feature Extraction for Neuromorphic Speech RecognitionJyotibdha Acharya, Aakash Patil, Xiaoya Li, et al.
Neural Computation|August 28, 2015
Linear Methods for Efficient and Fast Separation of Two Sources Recorded with a Single MicrophoneSaurabh Bhargava, Florian Blättler, Sepp Kollmorgen, et al.
Frontiers in Neuroscience|July 29, 2015
Robustness of spiking Deep Belief Networks to noise and reduced bit precision of neuro-inspired hardware platformsEvangelos Stromatias, Daniel Neil, Michael Pfeiffer, et al.
The Journal of Neuroscience : the Official Journal of the Society for Neuroscience|September 29, 2006
Oculomotor instabilities in zebrafish mutant belladonna: a behavioral model for congenital nystagmus caused by axonal misroutingYing-Yu Huang, Oliver Rinner, Patrik Hedinger, 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 3, 2025
Temporally-Varying Stimulations for Cortical Visual Neuroprosthetics using Spiking Neural NetworksPehuen Moure, Tatyana Pak, Niklas Hahn, et al.
IEEE Journal of Biomedical and Health Informatics|June 24, 2022
Predicting Hydration Status Using Machine Learning Models From Physiological and Sweat Biomarkers During Endurance Exercise: A Single Case StudyShu Wang, Celine Lafaye, Mathieu Saubade, et al.
Frontiers in Neuroscience|June 25, 2015
Breaking the millisecond barrier on SpiNNaker: implementing asynchronous event-based plastic models with microsecond resolutionXavier Lagorce, Evangelos Stromatias, Francesco Galluppi, et al.
Pageof 4

Showing results (21-30 of 40) with videos related to

Sort By:
Pageof 4
Nature Communications|November 11, 2025
Exploiting neuro-inspired dynamic sparsity for energy-efficient intelligent perceptionSheng Zhou, Chang Gao, Tobi Delbruck, et al.
Frontiers in Neuroscience|October 12, 2013
Real-time classification and sensor fusion with a spiking deep belief networkPeter O'Connor, Daniel Neil, Shih-Chii Liu, et al.
Frontiers in Neuroscience|January 30, 2018
Conversion of Continuous-Valued Deep Networks to Efficient Event-Driven Networks for Image ClassificationBodo Rueckauer, Iulia-Alexandra Lungu, Yuhuang Hu, et al.
Frontiers in Neuroscience|April 13, 2018
A Comparison of Low-Complexity Real-Time Feature Extraction for Neuromorphic Speech RecognitionJyotibdha Acharya, Aakash Patil, Xiaoya Li, et al.
Neural Computation|August 28, 2015
Linear Methods for Efficient and Fast Separation of Two Sources Recorded with a Single MicrophoneSaurabh Bhargava, Florian Blättler, Sepp Kollmorgen, et al.
Frontiers in Neuroscience|July 29, 2015
Robustness of spiking Deep Belief Networks to noise and reduced bit precision of neuro-inspired hardware platformsEvangelos Stromatias, Daniel Neil, Michael Pfeiffer, et al.
The Journal of Neuroscience : the Official Journal of the Society for Neuroscience|September 29, 2006
Oculomotor instabilities in zebrafish mutant belladonna: a behavioral model for congenital nystagmus caused by axonal misroutingYing-Yu Huang, Oliver Rinner, Patrik Hedinger, 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 3, 2025
Temporally-Varying Stimulations for Cortical Visual Neuroprosthetics using Spiking Neural NetworksPehuen Moure, Tatyana Pak, Niklas Hahn, et al.
IEEE Journal of Biomedical and Health Informatics|June 24, 2022
Predicting Hydration Status Using Machine Learning Models From Physiological and Sweat Biomarkers During Endurance Exercise: A Single Case StudyShu Wang, Celine Lafaye, Mathieu Saubade, et al.
Frontiers in Neuroscience|June 25, 2015
Breaking the millisecond barrier on SpiNNaker: implementing asynchronous event-based plastic models with microsecond resolutionXavier Lagorce, Evangelos Stromatias, Francesco Galluppi, et al.
Pageof 4