By Damien Coyle
Brain-Computer Interfaces: Lab Experiments to Real-World Applications, the most recent quantity within the Progress in mind examine series, specializes in new traits and advancements. This verified overseas sequence examines significant parts of uncomplicated and scientific learn in the neurosciences, in addition to well known and rising subfields.
- Explores new tendencies and advancements in mind learn
- Enhances the literature of neuroscience through additional increasing this tested, ongoing foreign sequence
- Examines significant parts of simple and scientific learn in the field
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Over the last many years of the 20th century hugely inventive concept experiments have been brought in philosophy: Searles chinese language room, adaptations at the Brain-in-a-vat, Thomsons violinist. while historians of philosophy and technology claimed the name of suggestion test for nearly any argument: Descartes evil genius, Buridans ass, Gyges ring.
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Extra info for Brain-Computer Interfaces: Lab Experiments to Real-World Applications
2015). In other words, meditation improves attentional abilities, which in turn improves BCI performances. , 2010, 2012). For instance, in Lim et al. (2012), children with attention deficit hyperactivity disorder (ADHD) were asked to play a game in which the speed of the character they were controlling was directly proportional to their attentional level, as measured by EEG. Thus, they had to focus as much attention as possible on the game in order to move fast enough to complete it in the allotted time.
2004. Vicarious agency: experiencing control over the movements of others. J. Pers. Soc. Psychol. 86, 838–848. , 2009. Taxonomy of human way finding tasks: a knowledge-based approach. Spat. Cogn. Comput. 9 (2), 152–165. , 2013. Control beliefs can predict the ability to up-regulate sensorimotor rhythm during neurofeedback training. Front. Hum. Neurosci. 7. , 2012. Brain-Computer Interfaces: Principles and Practice. Oxford University Press, New York. , 1991. An EEG-based braincomputer interface for cursor control.
In: 45th Hawaii International Conference on System Science HICSS, pp. 572–578. , 2010. Individual characteristics and their effect on predicting Mu rhythm modulation. Int. J. Hum. Comput. Interact. 27 (1), 24–37. , 2015. How kinesthetic motor imagery works: a predictiveprocessing theory of visualization in sports and motor expertise. J. Physiol. Paris 109 (1), 53–63. , 2002. Mental rotation in unipolar major depression. J. Clin. Exp. Neuropsychol. 24 (1), 101–106. , 2015. Etude de correlats electrophysiologiques pour la discrimination d’etats de fatigue et de charge mentale: apports pour les interfaces cerveau-machine passives (doctoral dissertation).
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