Shaomin Zhang
Affiliations: | Zhejiang University, Hangzhou Shi, Zhejiang Sheng, China |
Area:
Motor systemGoogle:
"Shaomin Zhang"Mean distance: 106866
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Publications
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| Zhang S, Yuan S, Huang L, et al. (2019) Human Mind Control of Rat Cyborg's Continuous Locomotion with Wireless Brain-to-Brain Interface. Scientific Reports. 9: 1321 |
| Pan G, Li JJ, Qi Y, et al. (2018) Rapid Decoding of Hand Gestures in Electrocorticography Using Recurrent Neural Networks. Frontiers in Neuroscience. 12: 555 |
| Li Y, Zhang S, Jin Y, et al. (2017) Gesture Decoding Using ECoG Signals from Human Sensorimotor Cortex: A Pilot Study. Behavioural Neurology. 2017: 3435686 |
| Dong S, Chen W, Wang X, et al. (2017) Flexible ECoG electrode for implantation and neural signal recording applications Vacuum. 140: 96-100 |
| Wang F, Wang Y, Xu K, et al. (2015) Quantized Attention-Gated Kernel Reinforcement Learning for Brain-Machine Interface Decoding. Ieee Transactions On Neural Networks and Learning Systems |
| Wang Y, She X, Liao Y, et al. (2015) Tracking Neural Modulation Depth by Dual Sequential Monte Carlo Estimation on Point Processes for Brain Machine Interfaces. Ieee Transactions On Bio-Medical Engineering |
| Liao Y, She X, Wang Y, et al. (2015) Monte Carlo point process estimation of electromyographic envelopes from motor cortical spikes for brain-machine interfaces. Journal of Neural Engineering. 12: 066014 |
| Wang Y, Wang F, Xu K, et al. (2015) Neural Control of a Tracking Task via Attention-Gated Reinforcement Learning for Brain-Machine Interfaces. Ieee Transactions On Neural Systems and Rehabilitation Engineering : a Publication of the Ieee Engineering in Medicine and Biology Society. 23: 458-67 |
| Hao Y, Zhang Q, Controzzi M, et al. (2014) Distinct neural patterns enable grasp types decoding in monkey dorsal premotor cortex. Journal of Neural Engineering. 11: 066011 |
| Perge JA, Zhang S, Malik WQ, et al. (2014) Reliability of directional information in unsorted spikes and local field potentials recorded in human motor cortex. Journal of Neural Engineering. 11: 046007 |