Year |
Citation |
Score |
2015 |
Wang F, Wang Y, Xu K, Li H, Liao Y, Zhang Q, Zhang S, Zheng X, Principe JC. Quantized Attention-Gated Kernel Reinforcement Learning for Brain-Machine Interface Decoding. Ieee Transactions On Neural Networks and Learning Systems. PMID 26625423 DOI: 10.1109/Tnnls.2015.2493079 |
0.604 |
|
2015 |
Wang F, Lou JF, Cao Y, Shi XH, Wang P, Xu J, Xie EF, Xu T, Sun RH, Rao JY, Huang PW, Pan SY, Wang H. miR-638 is a new biomarker for outcome prediction of non-small cell lung cancer patients receiving chemotherapy. Experimental & Molecular Medicine. 47: e162. PMID 25952770 DOI: 10.1038/Emm.2015.17 |
0.31 |
|
2015 |
Wang Y, Wang F, Xu K, Zhang Q, Zhang S, Zheng X. 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. PMID 25073173 DOI: 10.1109/Tnsre.2014.2341275 |
0.617 |
|
2014 |
Xu K, Wang Y, Wang F, Liao Y, Zhang Q, Li H, Zheng X. Neural decoding using a parallel sequential Monte Carlo method on point processes with ensemble effect. Biomed Research International. 2014: 685492. PMID 24949462 DOI: 10.1155/2014/685492 |
0.61 |
|
2013 |
Wang F, Xu J, Zhu Q, Qin X, Cao Y, Lou J, Xu Y, Ke X, Li Q, Xie E, Zhang L, Sun R, Chen L, Fang B, Pan S. Downregulation of IFNG in CD4(+) T cells in lung cancer through hypermethylation: a possible mechanism of tumor-induced immunosuppression. Plos One. 8: e79064. PMID 24244422 DOI: 10.1371/journal.pone.0079064 |
0.313 |
|
2013 |
Xu K, Wang Y, Wang Y, Wang F, Hao Y, Zhang S, Zhang Q, Chen W, Zheng X. Local-learning-based neuron selection for grasping gesture prediction in motor brain machine interfaces. Journal of Neural Engineering. 10: 026008. PMID 23428877 DOI: 10.1088/1741-2560/10/2/026008 |
0.612 |
|
2013 |
Wang F, Xu K, Zhang QS, Wang YW, Zheng XX. A Multi-Step Neural Control for Motor Brain-Machine Interface by Reinforcement Learning Applied Mechanics and Materials. 461: 565-569. DOI: 10.4028/Www.Scientific.Net/Amm.461.565 |
0.539 |
|
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