EEG-neurofeedback as a tool to modulate cognition and behavior: a review tutorial

S Enriquez-Geppert, RJ Huster… - Frontiers in human …, 2017 - frontiersin.org
Neurofeedback is attracting renewed interest as a method to self-regulate one's own brain
activity to directly alter the underlying neural mechanisms of cognition and behavior. It not …

[HTML][HTML] Combining non-invasive transcranial brain stimulation with neuroimaging and electrophysiology: current approaches and future perspectives

TO Bergmann, A Karabanov, G Hartwigsen… - Neuroimage, 2016 - Elsevier
Non-invasive transcranial brain stimulation (NTBS) techniques such as transcranial
magnetic stimulation (TMS) and transcranial current stimulation (TCS) are important tools in …

Neurotechnologies for human cognitive augmentation: current state of the art and future prospects

C Cinel, D Valeriani, R Poli - Frontiers in human neuroscience, 2019 - frontiersin.org
Recent advances in neuroscience have paved the way to innovative applications that
cognitively augment and enhance humans in a variety of contexts. This paper aims at …

Brain augmentation and neuroscience technologies: current applications, challenges, ethics and future prospects

NS Jangwan, GM Ashraf, V Ram, V Singh… - Frontiers in Systems …, 2022 - frontiersin.org
Ever since the dawn of antiquity, people have strived to improve their cognitive abilities.
From the advent of the wheel to the development of artificial intelligence, technology has …

The psychophysiology primer: a guide to methods and a broad review with a focus on human–computer interaction

B Cowley, M Filetti, K Lukander… - … and Trends® in …, 2016 - nowpublishers.com
Digital monitoring of physiological signals can allow computer systems to adapt
unobtrusively to users, so as to enhance personalised 'smart'interactions. In recent years …

Using neurophysiological signals that reflect cognitive or affective state: six recommendations to avoid common pitfalls

AM Brouwer, TO Zander, JBF Van Erp… - Frontiers in …, 2015 - frontiersin.org
Estimating cognitive or affective state from neurophysiological signals and designing
applications that make use of this information requires expertise in many disciplines such as …

Neurofeedback as supplementary training for optimizing athletes' performance: A systematic review with implications for future research

A Mirifar, J Beckmann, F Ehrlenspiel - Neuroscience & Biobehavioral …, 2017 - Elsevier
Self-regulation plays an important role in enhancing human performance. Neurofeedback is
a promising noninvasive approach for modifying human brain oscillation and can be utilized …

Real-time MEG neurofeedback training of posterior alpha activity modulates subsequent visual detection performance

YO Okazaki, JM Horschig, L Luther, R Oostenveld… - Neuroimage, 2015 - Elsevier
It has been demonstrated that alpha activity is lateralized when attention is directed to the
left or right visual hemifield. We investigated whether real-time neurofeedback training of the …

Cognitive strategies in the mental rotation task revealed by EEG spectral power

AL Gardony, MD Eddy, TT Brunyé, HA Taylor - Brain and Cognition, 2017 - Elsevier
The classic mental rotation task (MRT; Shepard & Metzler, 1971) is commonly thought to
measure mental rotation, a cognitive process involving covert simulation of motor rotation …

A machine learning approach to automatic phobia therapy with virtual reality

O Bălan, A Moldoveanu, M Leordeanu - Modern approaches to …, 2021 - Springer
Phobia is an anxiety disorder that affects 13% of the world's population and it is manifested
through an extreme and irrational fear toward objects or situations. A lot of research has …