Psychological Factors Influencing Brain-Computer Interface (BCI) Performance
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[1] J. Wolpaw,et al. A P300-based brain–computer interface for people with amyotrophic lateral sclerosis , 2008, Clinical Neurophysiology.
[2] Eric W. Sellers,et al. The effect of task based motivation on BCI performance: A preliminary outlook. , 2013 .
[3] Tobias Kaufmann,et al. Long-term independent brain-computer interface home use improves quality of life of a patient in the locked-in state: a case study. , 2015, Archives of physical medicine and rehabilitation.
[4] E. John,et al. Evoked-Potential Correlates of Stimulus Uncertainty , 1965, Science.
[5] K. Müller,et al. Psychological predictors of SMR-BCI performance , 2012, Biological Psychology.
[6] N. Birbaumer,et al. The Influence of Psychological State and Motivation on Brain–Computer Interface Performance in Patients with Amyotrophic Lateral Sclerosis – a Longitudinal Study , 2010, Front. Neuropharma..
[7] A. Kübler,et al. Motivation modulates the P300 amplitude during brain–computer interface use , 2010, Clinical Neurophysiology.
[8] Andrea Kübler,et al. Empathy, motivation, and P300 BCI performance , 2013, Front. Hum. Neurosci..
[9] J. Mourino,et al. Asynchronous BCI and local neural classifiers: an overview of the adaptive brain interface project , 2003, IEEE Transactions on Neural Systems and Rehabilitation Engineering.
[10] M. Molinari,et al. Proof of principle of a brain-computer interface approach to support poststroke arm rehabilitation in hospitalized patients: design, acceptability, and usability. , 2015, Archives of physical medicine and rehabilitation.
[11] M. Weinand,et al. Heart Rate and Heart Rate Variability Changes in the Intracarotid Sodium Amobarbital Test , 2001, Epilepsia.
[12] R. Rupp. Challenges in clinical applications of brain computer interfaces in individuals with spinal cord injury , 2014, Front. Neuroeng..
[13] A. Kübler,et al. Training locked-in patients: a challenge for the use of brain-computer interfaces , 2003, IEEE Transactions on Neural Systems and Rehabilitation Engineering.
[14] Christa Neuper,et al. Electroencephalographic characteristics during motor imagery , 2010 .
[15] R. Lane,et al. A model of neurovisceral integration in emotion regulation and dysregulation. , 2000, Journal of affective disorders.
[16] T. Vaughan,et al. Toward independent home use of brain-computer interfaces: a decision algorithm for selection of potential end-users. , 2015, Archives of physical medicine and rehabilitation.
[17] 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.
[18] Benjamin Blankertz,et al. Visuo-motor coordination ability predicts performance with brain-computer interfaces controlled by modulation of sensorimotor rhythms (SMR) , 2014, Front. Hum. Neurosci..
[19] Christian Mühl,et al. Flaws in current human training protocols for spontaneous Brain-Computer Interfaces: lessons learned from instructional design , 2013, Front. Hum. Neurosci..
[20] D. McFarland,et al. An auditory brain–computer interface (BCI) , 2008, Journal of Neuroscience Methods.
[21] Andrea Kübler,et al. Psychological Perspectives: Quality of Life and Motivation , 2014 .
[22] F. Cincotti,et al. Attention and P300-based BCI performance in people with amyotrophic lateral sclerosis , 2013, Front. Hum. Neurosci..
[23] Wolfgang Rosenstiel,et al. Neural mechanisms of brain–computer interface control , 2011, NeuroImage.
[24] Christa Neuper,et al. Control beliefs can predict the ability to up-regulate sensorimotor rhythm during neurofeedback training , 2013, Front. Hum. Neurosci..
[25] Gernot R. Müller-Putz,et al. Effects of mental workload and fatigue on the P300, alpha and theta band power during operation of an ERP (P300) brain–computer interface , 2014, Biological Psychology.
[26] Ryan Williams,et al. Prevalence of depression after spinal cord injury: a meta-analysis. , 2015, Archives of physical medicine and rehabilitation.
[27] Elisabeth Hildt,et al. Brain-Computer-Interfaces in their ethical, social and cultural contexts , 2014 .
[28] H. Heckhausen. Achievement motivation and its constructs: A cognitive model , 1977 .
[29] Anatole Lécuyer,et al. Author manuscript, published in "IEEE Transactions on Computational Intelligence and AI in games (2013)" Two Brains, One Game: Design and Evaluation of a Multi-User BCI Video Game Based on Motor Imagery , 2022 .
[30] J. Rotter,et al. The Clinical Measurement of Personality. , 1954 .
[31] Tobias Kaufmann,et al. Effects of resting heart rate variability on performance in the P300 brain-computer interface. , 2012, International journal of psychophysiology : official journal of the International Organization of Psychophysiology.