ArticleFrontiers in neuroscience2010
The Berlin Brain-Computer Interface: Non-Medical Uses of BCI Technology.
Article in Frontiers in neuroscience, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 85 papers.
What it found
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Who cites it
85 citing papers in PubMed.
- Power Spectral Density and Functional Connectivity Changes due to a Sensorimotor Neurofeedback Training: A Preliminary Study.Neural plasticity · 2019Trial
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- Motion Neural Monitoring Based on Flexible Materials: From Signal Acquisition to Training Enhancement.ACS omega · 2026Review
- Wearable Functional Near-Infrared Spectroscopy (fNIRS) Monitoring of Prefrontal Activation and Connectivity During Purpose-Driven Consumption.Sensors (Basel, Switzerland) · 2026Article
- Advancing EEG-based assessment of consciousness and cognition in prolonged disorders of consciousness.Communications medicine · 2026Article
- Advancing BCI with a transformer-based model for motor imagery classification.Scientific reports · 2025Article
- Multi-branch GAT-GRU-transformer for explainable EEG-based finger motor imagery classification.Frontiers in human neuroscience · 2025Article
- An EEG Dataset of Neural Signatures in a Competitive Two-Player Game Encouraging Deceptive Behavior.Scientific data · 2024Article
- Classification of EEG Signals Based on Sparrow Search Algorithm-Deep Belief Network for Brain-Computer Interface.Bioengineering (Basel, Switzerland) · 2023Article
- Applications of flexible electronics related to cardiocerebral vascular system.Materials today. Bio · 2023Review
- Human factors engineering of BCI: an evaluation for satisfaction of BCI based on motor imagery.Cognitive neurodynamics · 2023Article
- Neuroergonomics on the Go: An Evaluation of the Potential of Mobile EEG for Workplace Assessment and Design.Human factors · 2023Article
- Challenges of neural interfaces for stroke motor rehabilitation.Frontiers in human neuroscience · 2023Article
- Exploration of Brain-Computer Interaction for Supporting Children's Attention Training: A Multimodal Design Based on Attention Network and Gamification Design.International journal of environmental research and public health · 2022Article
- EEG/fNIRS Based Workload Classification Using Functional Brain Connectivity and Machine Learning.Sensors (Basel, Switzerland) · 2022Article
- Multivariate Kalman filter regression of confounding physiological signals for real-time classification of fNIRS data.Neurophotonics · 2022Article
- Cross-Modal Transfer Learning From EEG to Functional Near-Infrared Spectroscopy for Classification Task in Brain-Computer Interface System.Frontiers in psychology · 2022Article
- 2020 International brain-computer interface competition: A review.Frontiers in human neuroscience · 2022Review
- Influence of Auditory Cues on the Neuronal Response to Naturalistic Visual Stimuli in a Virtual Reality Setting.Frontiers in human neuroscience · 2022Article
25 more citing papers are in PubMed but not listed here.
Corrections and comments
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Authors and funding
11 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Brain-computer interfacing (BCI) is a steadily growing area of research. While initially BCI research was focused on applications for paralyzed patients, increasingly more alternative applications in healthy human subjects are proposed and investigated. In particular, monitoring of mental states and decoding of covert user states have seen a strong rise of interest. Here, we present some examples of such novel applications which provide evidence for the promising potential of BCI technology for non-medical uses. Furthermore, we discuss distinct methodological improvements required to bring non-medical applications of BCI technology to a diversity of layperson target groups, e.g., ease of use, minimal training, general usability, short control latencies.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.