定常状態視覚誘発電位による複数移動対象への注意状態の推定
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          | Published in | 日本感性工学会論文誌 Vol. 15; no. 1; pp. 225 - 231 | 
|---|---|
| Main Authors | , , | 
| Format | Journal Article | 
| Language | English | 
| Published | 
            日本感性工学会
    
        2016
     | 
| Online Access | Get full text | 
| ISSN | 1884-0833 1884-5258  | 
| DOI | 10.5057/jjske.TJSKE-D-15-00050 | 
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| Author | 南, 哲人 中内, 茂樹 新海, 崇紘  | 
    
|---|---|
| Author_xml | – sequence: 1 fullname: 中内, 茂樹 organization: 豊橋技術科学大学 – sequence: 1 fullname: 南, 哲人 organization: 豊橋技術科学大学 – sequence: 1 fullname: 新海, 崇紘 organization: 豊橋技術科学大学  | 
    
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| References | [12] Gao. S, Wang. Y, Gao. X, and Hong. B; Visual and auditory brain-computer interfaces. Biomedical Engineering, IEEE Transactions on, 61(5), pp.1436-1447, 2014. [5] S. K. Andersen, S. A. Hillyard and M. M. Müller; Global facilitation of attended features is obligatory and restricts divided attention. The Journal of Neuroscience, 33(46), pp.18200-18207, 2013. [14] S. Walter, C. Quigley, S. K. Andersen and M. M. Müller; Effects of overt and covert attention on the steady-state visual evoked potential, Neuroscience letters, 519(1), pp.37-41, 2012. [15] D. Lesenfants, D. Habbal, Z. Lugo, M. Lebeau, P. Horki, E. Amico, C. Pokorny, F. Gomez, A. Soddu, G. Muller-Putz, S. Laureys and Q. Noirhomme; An independent SSVEP-based brain-computer interface in locked-in syndrome, Journal of neural engineering, 11(3), 035002, 2014. [3] S. K. Andersen and M. M. Müller; Behavioral performance follows the time course of neural facilitation and suppression during cued shifts of feature-selective attention. Proceedings of the National Academy of Sciences, 107(31), pp.13878-13882, 2010. [1] M. M. Müller, P. Malinowski, T. Gruber and S. A. Hillyard; Sustained division of the attentional spotlight, Nature, 424(6946), pp.309-312, 2003. [8] R. Kus, A. Duszyk, P. Milanowski, M. Labecki, M. Bierzynska, Z. Radzikowska, M. Michalska, J. Zygierewicz, P. Suffczynski and P. J. Durka; On the quantification of SSVEP frequency responses in human eeg in realistic bci conditions, PLoS One, 8(10), e77536, 2013. [2] S. K. Andersen, S. A. Hillyard and M. M. Müller; Attention facilitates multiple stimulus features in parallel in human visual cortex, Current Biology, 18(13), pp.1006-1009, 2008. [10] A. Delorme and S. Makeig; Eeglab: an open source toolbox for analysis of singletrial eeg dynamics including independent component analysis. Journal of neuroscience methods, 134(1), pp.9-21, 2004. [4] V. S. Störmer, G. N. Winther, S. C. Li and S. K. Andersen; Sustained multifocal attentional enhancement of stimulus processing in early visual areas predicts tracking performance. The Journal of Neuroscience, 33(12), pp.5346-5351, 2013. [9] Y. Kimura, T. Tanaka, H. Higashi and N. Morikawa; SSVEP-based brain-computer interfaces using fsk-modulated visual stimuli. Biomedical Engineering, IEEE Transactions on 60(10), pp.2831-2838, 2013. [11] Z. Lin, C. Zhang, W. Wu and X. Gao; Frequency recognition based on canonical correlation analysis for SSVEP-based bcis. Biomedical Engineering, IEEE Transactions on, 53(12), pp.2610-2614, 2006. [6] V. S. Störmer, G. A. Alvarez and P. Cavanagh; Within-hemield competition in early visual areas limits the ability to track multiple objects with attention. The Journal of Neuroscience, Vol. 34, No. 35, pp. 11526-11533, 2014. [13] Z. W. Pylyshyn and R. W. Storm; Tracking multiple independent targets: Evidence for a parallel tracking mechanism*, Spatial vision, 3(3), pp.179-197, 1988. [16] G. A. Alvarez, and P. Cavanagh; Independent resources for attentional tracking in the left and right visual hemifields, Psychological Science, 16(8), pp.637-643, 2005 [7] D. Zhu, J. Bieger, G. G. Molina and R. M. Aarts; A survey of stimulation methods used in SSVEP-based BCIs, Computational intelligence and neuroscience, 2010: 1, 2010.  | 
    
| References_xml | – reference: [5] S. K. Andersen, S. A. Hillyard and M. M. Müller; Global facilitation of attended features is obligatory and restricts divided attention. The Journal of Neuroscience, 33(46), pp.18200-18207, 2013. – reference: [7] D. Zhu, J. Bieger, G. G. Molina and R. M. Aarts; A survey of stimulation methods used in SSVEP-based BCIs, Computational intelligence and neuroscience, 2010: 1, 2010. – reference: [10] A. Delorme and S. Makeig; Eeglab: an open source toolbox for analysis of singletrial eeg dynamics including independent component analysis. Journal of neuroscience methods, 134(1), pp.9-21, 2004. – reference: [16] G. A. Alvarez, and P. Cavanagh; Independent resources for attentional tracking in the left and right visual hemifields, Psychological Science, 16(8), pp.637-643, 2005 – reference: [13] Z. W. Pylyshyn and R. W. Storm; Tracking multiple independent targets: Evidence for a parallel tracking mechanism*, Spatial vision, 3(3), pp.179-197, 1988. – reference: [15] D. Lesenfants, D. Habbal, Z. Lugo, M. Lebeau, P. Horki, E. Amico, C. Pokorny, F. Gomez, A. Soddu, G. Muller-Putz, S. Laureys and Q. Noirhomme; An independent SSVEP-based brain-computer interface in locked-in syndrome, Journal of neural engineering, 11(3), 035002, 2014. – reference: [8] R. Kus, A. Duszyk, P. Milanowski, M. Labecki, M. Bierzynska, Z. Radzikowska, M. Michalska, J. Zygierewicz, P. Suffczynski and P. J. Durka; On the quantification of SSVEP frequency responses in human eeg in realistic bci conditions, PLoS One, 8(10), e77536, 2013. – reference: [6] V. S. Störmer, G. A. Alvarez and P. Cavanagh; Within-hemield competition in early visual areas limits the ability to track multiple objects with attention. The Journal of Neuroscience, Vol. 34, No. 35, pp. 11526-11533, 2014. – reference: [12] Gao. S, Wang. Y, Gao. X, and Hong. B; Visual and auditory brain-computer interfaces. Biomedical Engineering, IEEE Transactions on, 61(5), pp.1436-1447, 2014. – reference: [9] Y. Kimura, T. Tanaka, H. Higashi and N. Morikawa; SSVEP-based brain-computer interfaces using fsk-modulated visual stimuli. Biomedical Engineering, IEEE Transactions on 60(10), pp.2831-2838, 2013. – reference: [2] S. K. Andersen, S. A. Hillyard and M. M. Müller; Attention facilitates multiple stimulus features in parallel in human visual cortex, Current Biology, 18(13), pp.1006-1009, 2008. – reference: [3] S. K. Andersen and M. M. Müller; Behavioral performance follows the time course of neural facilitation and suppression during cued shifts of feature-selective attention. Proceedings of the National Academy of Sciences, 107(31), pp.13878-13882, 2010. – reference: [14] S. Walter, C. Quigley, S. K. Andersen and M. M. Müller; Effects of overt and covert attention on the steady-state visual evoked potential, Neuroscience letters, 519(1), pp.37-41, 2012. – reference: [1] M. M. Müller, P. Malinowski, T. Gruber and S. A. Hillyard; Sustained division of the attentional spotlight, Nature, 424(6946), pp.309-312, 2003. – reference: [4] V. S. Störmer, G. N. Winther, S. C. Li and S. K. Andersen; Sustained multifocal attentional enhancement of stimulus processing in early visual areas predicts tracking performance. The Journal of Neuroscience, 33(12), pp.5346-5351, 2013. – reference: [11] Z. Lin, C. Zhang, W. Wu and X. Gao; Frequency recognition based on canonical correlation analysis for SSVEP-based bcis. Biomedical Engineering, IEEE Transactions on, 53(12), pp.2610-2614, 2006.  | 
    
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| Title | 定常状態視覚誘発電位による複数移動対象への注意状態の推定 | 
    
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