A cognitive brain–computer interface monitoring sustained attentional variations during a continuous task
暂无分享,去创建一个
[1] Rajesh P. N. Rao,et al. A Direct Brain-to-Brain Interface in Humans , 2014, PloS one.
[2] Amy L. Alexander,et al. Attentional Tunneling and Task Management in Synthetic Vision Displays , 2009 .
[3] Denis G. Pelli,et al. ECVP '07 Abstracts , 2007, Perception.
[4] S. Makeig,et al. Lapses in alertness: coherence of fluctuations in performance and EEG spectrum. , 1993, Electroencephalography and clinical neurophysiology.
[5] John J. Foxe,et al. Anticipatory Attentional Suppression of Visual Features Indexed by Oscillatory Alpha-Band Power Increases:A High-Density Electrical Mapping Study , 2010, The Journal of Neuroscience.
[6] Dewen Hu,et al. Usage of drip drops as stimuli in an auditory P300 BCI paradigm , 2018, Cognitive Neurodynamics.
[7] M Congedo,et al. A review of classification algorithms for EEG-based brain–computer interfaces , 2007, Journal of neural engineering.
[8] Miguel Nicolelis. Beyond Boundaries: The New Neuroscience of Connecting Brains with Machines---and How It Will Change Our Lives , 2011 .
[9] D. Berlyne. Conflict, arousal, and curiosity , 2014 .
[10] Damien Coyle,et al. Games, Gameplay, and BCI: The State of the Art , 2013, IEEE Transactions on Computational Intelligence and AI in Games.
[11] Roshan Cools,et al. Region-specific modulations in oscillatory alpha activity serve to facilitate processing in the visual and auditory modalities , 2014, NeuroImage.
[12] J. Deutsch,et al. Attention: Some theoretical considerations. , 1963 .
[13] O. Jensen,et al. Frontal theta activity in humans increases with memory load in a working memory task , 2002, The European journal of neuroscience.
[14] R. Desimone,et al. Neural mechanisms of selective visual attention. , 1995, Annual review of neuroscience.
[15] Guojun Dai,et al. EEG classification of driver mental states by deep learning , 2018, Cognitive Neurodynamics.
[16] Michael E. Smith,et al. Neurophysiological measures of cognitive workload during human-computer interaction , 2003 .
[17] Charan Ranganath,et al. Frontal midline theta oscillations during working memory maintenance and episodic encoding and retrieval , 2014, NeuroImage.
[18] S. Fairclough,et al. The effect of task demand and incentive on neurophysiological and cardiovascular markers of effort. , 2017, International journal of psychophysiology : official journal of the International Organization of Psychophysiology.
[19] Matti S. Hämäläinen,et al. Dynamic Oscillatory Processes Governing Cued Orienting and Allocation of Auditory Attention , 2013, Journal of Cognitive Neuroscience.
[20] Antoine Gaume,et al. Towards cognitive brain-computer interfaces : real-time monitoring of visual processing and control using electroencephalography , 2016 .
[21] Antoine Gaume,et al. Towards cognitive BCI: Neural correlates of sustained attention in a continuous performance task , 2015, 2015 7th International IEEE/EMBS Conference on Neural Engineering (NER).
[22] M Congedo,et al. Neurofeedback: One of today's techniques in psychiatry? , 2017, L'Encephale.
[23] Keinosuke Fukunaga,et al. Statistical Pattern Recognition , 1993, Handbook of Pattern Recognition and Computer Vision.
[24] Sayan Nag,et al. Music of brain and music on brain: a novel EEG sonification approach , 2018, Cognitive Neurodynamics.
[25] Michael E. Smith,et al. Monitoring Working Memory Load during Computer-Based Tasks with EEG Pattern Recognition Methods , 1998, Hum. Factors.
[26] C. Reynolds,et al. The continuous performance test: a window on the neural substrates for attention? , 2002, Archives of Clinical Neuropsychology.
[27] W. Klimesch,et al. EEG alpha synchronization and functional coupling during top‐down processing in a working memory task , 2005, Human brain mapping.
[28] S. Hart,et al. Development of NASA-TLX (Task Load Index): Results of Empirical and Theoretical Research , 1988 .
[29] A. Gaume,et al. A psychoengineering paradigm for the neurocognitive mechanisms of biofeedback and neurofeedback , 2016, Neuroscience & Biobehavioral Reviews.
[30] P A Hancock,et al. Vigilance on the move: video game-based measurement of sustained attention , 2014, Ergonomics.
[31] Alan S. Brown,et al. Information Processing and Cognition: The Loyola Symposium , 1976 .
[32] M. Frank,et al. Frontal theta as a mechanism for cognitive control , 2014, Trends in Cognitive Sciences.
[33] A Konar,et al. Analyzing text recognition from tactually evoked EEG , 2017, Cognitive Neurodynamics.
[34] N. Mackworth. The Breakdown of Vigilance during Prolonged Visual Search 1 , 1948 .
[35] W. Klimesch. EEG alpha and theta oscillations reflect cognitive and memory performance: a review and analysis , 1999, Brain Research Reviews.
[36] Haixian Wang,et al. Regularized common spatial patterns with subject-to-subject transfer of EEG signals , 2017, Cognitive Neurodynamics.
[37] Anne Treisman,et al. Monitoring and storage of irrelevant messages in selective attention , 1964 .
[38] M. Posner,et al. Attention and cognitive control. , 1975 .
[39] A. Wróbel,et al. Beta activity: a carrier for visual attention. , 2000, Acta neurobiologiae experimentalis.
[40] J J Vidal,et al. Toward direct brain-computer communication. , 1973, Annual review of biophysics and bioengineering.
[41] Christian Kothe,et al. Towards passive brain–computer interfaces: applying brain–computer interface technology to human–machine systems in general , 2011, Journal of neural engineering.
[42] Elie Bienenstock,et al. Neural Networks and the Bias/Variance Dilemma , 1992, Neural Computation.
[43] W. James,et al. The Principles of Psychology. , 1983 .
[44] K. R. Ridderinkhof,et al. Sure I'm Sure: Prefrontal Oscillations Support Metacognitive Monitoring of Decision Making , 2017, The Journal of Neuroscience.
[45] Christian Mühl,et al. EEG-based workload estimation across affective contexts , 2014, Front. Neurosci..
[46] F Lotte,et al. Advances in user-training for mental-imagery-based BCI control: Psychological and cognitive factors and their neural correlates. , 2016, Progress in brain research.
[47] M. Posner,et al. The attention system of the human brain. , 1990, Annual review of neuroscience.
[48] D H Brainard,et al. The Psychophysics Toolbox. , 1997, Spatial vision.
[49] Gérard Dreyfus,et al. Ranking a Random Feature for Variable and Feature Selection , 2003, J. Mach. Learn. Res..
[50] Yodchanan Wongsawat,et al. Quantitative EEG evaluation for performance level analysis of professional female soccer players , 2017, Cognitive Neurodynamics.
[51] Dong Pyo Jang,et al. The Investigation of the Relationship between Eye Blink and Visual Attention with Video Clip , 2014 .
[52] M. Ding,et al. Top-Down Control of Visual Alpha Oscillations: Sources of Control Signals and Their Mechanisms of Action , 2016, Front. Hum. Neurosci..
[53] M. Ding,et al. Attentional modulation of the somatosensory mu rhythm , 2011, Neuroscience.
[54] E. Knudsen. Fundamental components of attention. , 2007, Annual review of neuroscience.
[55] Camarin E. Rolle,et al. Video game training enhances cognitive control in older adults , 2013, Nature.
[56] É. Moulines,et al. Second Order Blind Separation of Temporally Correlated Sources , 1993 .
[57] Ernest Mas-Herrero,et al. Theta oscillations integrate functionally segregated sub-regions of the medial prefrontal cortex , 2016, NeuroImage.
[58] T. Sejnowski,et al. Removing electroencephalographic artifacts by blind source separation. , 2000, Psychophysiology.
[59] Yu-Chi Ho. The no free lunch theorem and the human-machine interface , 1999 .
[60] C. Schroeder,et al. Neuronal Mechanisms of Cortical Alpha Oscillations in Awake-Behaving Macaques , 2008, The Journal of Neuroscience.
[61] E Donchin,et al. Brain-computer interface technology: a review of the first international meeting. , 2000, IEEE transactions on rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society.
[62] W. Johnston,et al. Flexibility and capacity demands of attention , 1978 .
[63] D. Norman. Toward a theory of memory and attention. , 1968 .
[64] J. Wade Davis,et al. Statistical Pattern Recognition , 2003, Technometrics.
[65] N. Yeung,et al. The roles of cortical oscillations in sustained attention , 2015, Trends in Cognitive Sciences.
[66] Gérard Dreyfus,et al. Single-layer learning revisited: a stepwise procedure for building and training a neural network , 1989, NATO Neurocomputing.
[67] Hong Wang,et al. Graph analysis of functional brain network topology using minimum spanning tree in driver drowsiness , 2018, Cognitive Neurodynamics.
[68] Matteo Toscani,et al. Alpha waves: a neural signature of visual suppression , 2010, Experimental Brain Research.
[69] Á. Pascual-Leone,et al. Conscious Brain-to-Brain Communication in Humans Using Non-Invasive Technologies , 2014, Brain Stimulation.
[70] J. Ford,et al. Relationships between pre-stimulus γ power and subsequent P300 and reaction time breakdown in schizophrenia. , 2011, International journal of psychophysiology : official journal of the International Organization of Psychophysiology.
[71] T. Shallice,et al. A Multidisciplinary Approach to Anterior Attentional Functions a , 1995, Annals of the New York Academy of Sciences.
[72] Robert T. Knight,et al. Spatial and temporal relationships of electrocorticographic alpha and gamma activity during auditory processing , 2014, NeuroImage.
[73] Takayuki Nozawa,et al. Spatiotemporal Dynamics of High-Gamma Activities during a 3-Stimulus Visual Oddball Task , 2013, PloS one.
[74] M. Posner,et al. The attention system of the human brain: 20 years after. , 2012, Annual review of neuroscience.
[75] Wolfgang Rosenstiel,et al. Cognitive state monitoring and the design of adaptive instruction in digital environments: lessons learned from cognitive workload assessment using a passive brain-computer interface approach , 2014, Front. Neurosci..
[76] D. Kahneman. Attention and Effort , 1973 .
[77] Joel S. Warm,et al. Vigilance Requires Hard Mental Work and Is Stressful , 2008, Hum. Factors.