Spatial decoupling of targets and flashing stimuli for visual brain-computer interfaces.
暂无分享,去创建一个
[1] G Calhoun,et al. Brain-computer interfaces based on the steady-state visual-evoked response. , 2000, IEEE transactions on rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society.
[2] E. Lalor,et al. A comparison of covert and overt attention as a control option in a steady-state visual evoked potential-based brain computer interface , 2004, The 26th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.
[3] John J. Foxe,et al. Visual evoked spread spectrum analysis (VESPA) responses to stimuli biased towards magnocellular and parvocellular pathways , 2009, Vision Research.
[4] Xiaorong Gao,et al. An online multi-channel SSVEP-based brain–computer interface using a canonical correlation analysis method , 2009, Journal of neural engineering.
[5] Barak A. Pearlmutter,et al. Isolating endogenous visuo-spatial attentional effects using the novel visual-evoked spread spectrum analysis (VESPA) technique , 2007, The European journal of neuroscience.
[6] G. Westheimer. The spatial grain of the perifoveal visual field , 1982, Vision Research.
[7] Teodiano Freire Bastos Filho,et al. SSVEP-BCI implementation for 37–40 Hz frequency range , 2011, 2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.
[8] G Müller-Putz,et al. An independent SSVEP-based brain–computer interface in locked-in syndrome , 2014, Journal of neural engineering.
[9] G. Pfurtscheller,et al. Brain-Computer Interfaces for Communication and Control. , 2011, Communications of the ACM.
[10] Wolfgang Rosenstiel,et al. Online Adaptation of a c-VEP Brain-Computer Interface(BCI) Based on Error-Related Potentials and Unsupervised Learning , 2012, PloS one.
[11] N. Birbaumer,et al. BCI2000: a general-purpose brain-computer interface (BCI) system , 2004, IEEE Transactions on Biomedical Engineering.
[12] Wei Wu,et al. Frequency recognition based on canonical correlation analysis for SSVEP-based BCIs , 2007, IEEE Transactions on Biomedical Engineering.
[13] Tao Liu,et al. N200-speller using motion-onset visual response , 2009, Clinical Neurophysiology.
[14] Maarten A. S. Boksem,et al. Effects of mental fatigue on attention: an ERP study. , 2005, Brain research. Cognitive brain research.
[15] Po-Lei Lee,et al. An SSVEP-Based BCI Using High Duty-Cycle Visual Flicker , 2011, IEEE Transactions on Biomedical Engineering.
[16] Mário Sarcinelli-Filho,et al. Commanding a robotic wheelchair with a high-frequency steady-state visual evoked potential based brain-computer interface. , 2013, Medical engineering & physics.
[17] Yijun Wang,et al. A high-speed BCI based on code modulation VEP , 2011, Journal of neural engineering.
[18] Yijun Wang,et al. VEP-based brain-computer interfaces: time, frequency, and code modulations [Research Frontier] , 2009, IEEE Computational Intelligence Magazine.
[19] J. Wolpaw,et al. Towards an independent brain–computer interface using steady state visual evoked potentials , 2008, Clinical Neurophysiology.