Brain-Computer Interfaces: Development, Applications, and Challenges
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Applied Neuroscience and Neural Engineering".
Deadline for manuscript submissions: 30 December 2025 | Viewed by 2548
Special Issue Editor
Interests: complex systems; bioinformatics; mathematical and computational biology; optics and photonics; biological physics; cognitive neuroscience
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Brain–Computer Interface (BCI) technology is a rapidly evolving multidisciplinary research area with a wide range of applications in medicine, neurorehabilitation, robotics, gaming, assistive technologies, and human–machine interaction. This Special Issue aims to bring together recent developments in BCI systems and explore their integration into practical, real-world solutions. We invite high-quality original research articles, reviews, and case studies addressing the design, development, and application of BCIs. Particular attention will be given to innovative methods for signal acquisition, processing, classification, and the interpretation of brain activity, as well as their use in real-time control systems.
Submissions are especially encouraged in the following application domains:
- Brain control of robotic limbs, avatars, exoskeletons, and assistive devices;
- Detection, prediction, and prevention of neurological and psychiatric disorders;
- Assessment and modulation of psychophysiological states (e.g., fatigue, stress, and attention);
- Monitoring of cognitive functions in both healthy and clinical populations.
This Special Issue will serve as a platform to highlight the current challenges and future directions in BCI research and its transformative potential across disciplines.
We look forward to hearing from you.
Prof. Dr. Alexander N. Pisarchik
Guest Editor
Manuscript Submission Information
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Keywords
- Brain–Computer Interface (BCI)
- neurotechnology
- EEG signal processing
- cognitive and affective state monitoring
- neural control of robotics
- biomedical applications of BCIs
- real-time brain signal analysis
- human–machine interaction
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