By Christoph Guger, Gernot Müller-Putz, Brendan Allison
This publication describes ten of the main promising brain-computer-interface (BCI) initiatives to have emerged in recent times. BCI study is constructing quick, with many new principles, learn teams, and enhanced applied sciences. BCIs let humans to speak simply by considering – with none flow in any respect. a number of various teams have helped significantly disabled clients speak with BCIs, and BCI know-how can be being prolonged to facilitate restoration from stroke, epilepsy, and different conditions.
Each yr, hundreds of thousands of the head BCI scientists, engineers, medical professionals, and different visionaries compete for the main prestigious honor within the BCI learn neighborhood: the once a year BCI Award. The 2014 BCI Award festival used to be back aggressive, with sixty nine study teams vying for a nomination. This e-book summarizes the 2014 BCI Award, together with the 10 initiatives that have been nominated, the winner, and analyses and discussions of the submitted tasks and the way they mirror common tendencies in BCI improvement. each one of those ten teams presents a bankruptcy summarizing their nominated undertaking, together with an creation, description of equipment, effects, and more moderen paintings accomplished after the venture was once submitted. consequently, this publication offers a state of the art evaluation of the most recent BCI learn tendencies, from most sensible teams, in a simple to learn layout with quite a few aiding photographs, graphs, and figures.
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Additional info for Brain-Computer Interface Research: A State-of-the-Art Summary 4
2010); and traumatic brain injury (Thornton and Carmody 2008), among others. Furthermore, there are some reports indicating that NFT might be used to increase cognitive performance (Vernon et al. 2003). Hence, it seems reasonable to explore NFT to restore cognitive performance that has been reduced in elderly persons. In this regard, there are studies that focus on neuropsychological changes due to NFT in healthy elderly people (Staufenbiel et al. 2014; Wang and Hsieh 2013; Angelakis et al. 2006).
Neurosci. B. J. Sachs T. C. Martinez-Trujillo, Prefrontal neurons of opposite spatial preference display distinct target selection dynamics. J. Neurosci. C. Leuthardt, G. R. G. W. Moran, A brain-computer interface using electrocorticographic signals in humans. J. Neural Eng. 1, 63–71 (2004) D. Mendoza-Halliday, S. C. Martinez-Trujillo, Sharp emergence of feature-selective sustained activity along the dorsal visual pathway. Nat. Neurosci. 17, 1255–1262 (2014) F. Middleton, P. Strick, Basal ganglia output and cognition: evidence from anatomical, behavioral, and clinical studies.
Figure 5 shows screenshots of each of the three stages of this task. Fig. 3 Screenshots of the interface during T3. The top panels represent feedback during right hand motor imagery. The bottom panels reflect left hand motor imagery feedback Neurofeedback Training with a Motor Imagery-Based BCI … 49 Fig. 4 Screenshots of the interface during T4. Users must overcome obstacles using hand motor imagery Fig. 5 Screenshots of the interface during T5. During the ﬁrst stage (left), users had to memorize these two items.