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                         高小榕         
        
            

教授,清华大学医学院

研究员,清华-IDG/麦戈文脑科学研究院


            

办公室: 医学科学楼B205
办公电话: +86-10-62781539
电子邮件: gxr-dea@tsinghua.edu.cn
实验室网页: http://neuro.med.tsinghua.edu.cn


                     
        
                        [研究兴趣]                          

高小榕主要研究兴趣为神经信号处理和脑机接口(BCI),这两个神经工程的子分支应用计算技术来探讨人脑内部机能。BCI研究目的在于探讨人脑的三个方面:了解大脑、保护大脑和制造大脑。BCI技术是神经科学、神经工程、药学和康复学研究的热点课题。长期研究目标是建立有效工具,从理论上和实践上分析脑电波数据,应用于多个领域(从基础神经生理学研究、临床研究,到神经工程),为揭秘人脑如何工作,和为什么它会按照特定的方式来工作提供线索。

        
        
                                                  
        
                            [简历]                             
2013-至今   研究员,清华-IDG/麦戈文脑科学研究院
2004-至今   教授,清华大学医学院生物医学工程系
1995-2004   副教授,清华大学生物医学工程系
1992-1995   助理教授,清华大学电机工程系
1989-1992   博士,生物医学工程,清华大学
1986-1989   医学硕士,生物医学工程,北京协和医科大学
1981-1986   学士,生物医学工,浙江大学         
        
                                         [部分发表]                             

Chen X, Wang Y, Zhang S, Gao S, Hu Y, Gao X*, A novel stimulation method for multi-class SSVEP-BCI using intermodulation frequencies. J. Neural Eng., 14(2): 026013, 2017.

Wu C, Lin K, Wu W, Gao X*, A novel algorithm for learning sparse spatio-spectral patterns for event-related potentials. IEEE Trans. Neural Netw. Learn. Syst., 28(4): 862-872, 2016.

Lin K, Cinetto A, Wang Y, Chen X, Gao S, Gao X*, An online hybrid BCI system based on SSVEP and EMG. J. Neural Eng., 13(2): 026020, 2016.

Lin Y, Liu B, Liu Z, Gao X*, EEG gamma-band activity during audiovisual speech comprehension in different noise environments. Cogn. Neurodyn., 9(4): 389-398, 2015.

Chen X, Wang Y, Gao S, Jung T P, Gao X*, Filter bank canonical correlation analysis for implementing a high-speed SSVEP-based brain-computer interface. J. Neural Eng., 12(4): 046008, 2015.

Ying J, Zhou D, Lin K, Gao X, Network analysis of functional brain connectivity driven by gamma-band auditory steady-state response in auditory hallucinations. J. Med. Biol. Eng., 35(1): 45-51, 2015.

Wu W, Wu C, Gao S, Liu B, Li Y, Gao X*, Bayesian estimation of ERP components from multicondition and multichannel EEG. Neuroimage. 88: 319-339, 2014.

Lin Y, Wu W, Wu C, Liu B, Gao X*, Extraction of mismatch negativity using a resampling-based spatial filtering method. J. Neural Eng., 10(2): 026015, 2013.

Guangyu Bin, Xiaorong Gao*, Yijun Wang, Bo Hong, and Shangkai Gao, A high-speed BCI based on code modulation VEP,Journal of Neural Engineering. 8 (2011) 025015 (5pp) doi:10.1088/1741-2560/8/2/025015.

Guangyu Bin, Xiaorong Gao*, Wang Y., Hong B. and Gao S.. VEP Based Brain-Computer Interfaces: Time,Frequency and Code Modulations. IEEE Computational Intelligence Magazine, 4: 22–26, 2009.

M Cheng; Xiaorong Gao; S Gao*; D Xu, Design and implementation of a brain-computer interface with high transfer rates, IEEE Transactions on Biomedical Engineering, Vol.49 No.10, p1181 – 1186, 2002.

                     
                 
        
    
    
        
            
                    
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