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Physical principles of brain–computer interfaces and their applications for rehabilitation, robotics and control of human brain states
Brain–computer interfaces (BCIs) development is closely related to physics. In this paper, we
review the physical principles of BCIs, and underlying novel approaches for registration …
review the physical principles of BCIs, and underlying novel approaches for registration …
The neuroscience of mindfulness meditation
Research over the past two decades broadly supports the claim that mindfulness meditation—
practiced widely for the reduction of stress and promotion of health—exerts beneficial effects …
practiced widely for the reduction of stress and promotion of health—exerts beneficial effects …
fNIRS-based brain-computer interfaces: a review
A brain-computer interface (BCI) is a communication system that allows the use of brain
activity to control computers or other external devices. It can, by bypassing the peripheral …
activity to control computers or other external devices. It can, by bypassing the peripheral …
[HTML][HTML] Hybrid brain–computer interface techniques for improved classification accuracy and increased number of commands: a review
In this paper, hybrid brain-computer interface (hBCI) technologies for improving
classification accuracy and increasing the number of commands are reviewed. Hybridization …
classification accuracy and increasing the number of commands are reviewed. Hybridization …
Real-time fMRI neurofeedback: progress and challenges
In February of 2012, the first international conference on real time functional magnetic
resonance imaging (rtfMRI) neurofeedback was held at the Swiss Federal Institute of …
resonance imaging (rtfMRI) neurofeedback was held at the Swiss Federal Institute of …
Medical image processing on the GPU–Past, present and future
Graphics processing units (GPUs) are used today in a wide range of applications, mainly
because they can dramatically accelerate parallel computing, are affordable and energy …
because they can dramatically accelerate parallel computing, are affordable and energy …
Closed-loop training of attention with real-time brain imaging
Lapses of attention can have negative consequences, including accidents and lost
productivity. Here we used closed-loop neurofeedback to improve sustained attention …
productivity. Here we used closed-loop neurofeedback to improve sustained attention …
Computational approaches to fMRI analysis
Abstract Analysis methods in cognitive neuroscience have not always matched the richness
of fMRI data. Early methods focused on estimating neural activity within individual voxels or …
of fMRI data. Early methods focused on estimating neural activity within individual voxels or …
Real-time fMRI and its application to neurofeedback
N Weiskopf - Neuroimage, 2012 - Elsevier
Real-time fMRI (rtfMRI) allows immediate access to experimental results by analyzing data
as fast as they are acquired. It was devised soon after the inception of fMRI and has …
as fast as they are acquired. It was devised soon after the inception of fMRI and has …
Learning to modulate one's own brain activity: the effect of spontaneous mental strategies
Using neurofeedback (NF), individuals can learn to modulate their own brain activity, in most
cases electroencephalographic (EEG) rhythms. Although a large body of literature reports …
cases electroencephalographic (EEG) rhythms. Although a large body of literature reports …