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Closed-loop brain training: the science of neurofeedback
Neurofeedback is a psychophysiological procedure in which online feedback of neural
activation is provided to the participant for the purpose of self-regulation. Learning control …
activation is provided to the participant for the purpose of self-regulation. Learning control …
EEG-based brain–computer interfaces
DJ McFarland, JR Wolpaw - current opinion in Biomedical Engineering, 2017 - Elsevier
Abstract Brain–Computer Interfaces (BCIs) are real-time computer-based systems that
translate brain signals into useful commands. To date most applications have been …
translate brain signals into useful commands. To date most applications have been …
[PDF][PDF] Consensus on the reporting and experimental design of clinical and cognitive-behavioural neurofeedback studies (CRED-nf checklist)
Consensus on the reporting and experimental design of clinical and cognitive-behavioural
neurofeedback studies (CRED-nf checklis Page 1 UPDATE Consensus on the reporting and …
neurofeedback studies (CRED-nf checklis Page 1 UPDATE Consensus on the reporting and …
Integrated use of biofeedback and neurofeedback techniques in treating pathological conditions and improving performance: A narrative review
B Tosti, S Corrado, S Mancone, T Di Libero… - Frontiers in …, 2024 - frontiersin.org
In recent years, the scientific community has begun tо explore the efficacy оf an integrated
neurofeedback+ biofeedback approach іn various conditions, both pathological and non …
neurofeedback+ biofeedback approach іn various conditions, both pathological and non …
Can we predict who will respond to neurofeedback? A review of the inefficacy problem and existing predictors for successful EEG neurofeedback learning
Despite the success of neurofeedback treatment in many cases, the variability in the efficacy
of the treatment is high, and some studies report that a significant proportion of subjects …
of the treatment is high, and some studies report that a significant proportion of subjects …
The Cybathlon BCI race: Successful longitudinal mutual learning with two tetraplegic users
This work aims at corroborating the importance and efficacy of mutual learning in motor
imagery (MI) brain–computer interface (BCI) by leveraging the insights obtained through our …
imagery (MI) brain–computer interface (BCI) by leveraging the insights obtained through our …
A review of user training methods in brain computer interfaces based on mental tasks
Mental-tasks based brain–computer interfaces (MT-BCIs) allow their users to interact with an
external device solely by using brain signals produced through mental tasks. While MT-BCIs …
external device solely by using brain signals produced through mental tasks. While MT-BCIs …
Neurofeedback through the lens of reinforcement learning
N Lubianiker, C Paret, P Dayan, T Hendler - Trends in Neurosciences, 2022 - cell.com
Despite decades of experimental and clinical practice, the neuropsychological mechanisms
underlying neurofeedback (NF) training remain obscure. NF is a unique form of …
underlying neurofeedback (NF) training remain obscure. NF is a unique form of …
A large EEG database with users' profile information for motor imagery brain-computer interface research
We present and share a large database containing electroencephalographic signals from 87
human participants, collected during a single day of brain-computer interface (BCI) …
human participants, collected during a single day of brain-computer interface (BCI) …
Current progress in real-time functional magnetic resonance-based neurofeedback: methodological challenges and achievements
Neurofeedback (NF) is a research and clinical technique, characterized by live
demonstration of brain activation to the subject. The technique has become increasingly …
demonstration of brain activation to the subject. The technique has become increasingly …