This Research Topic is a special awarded collection. To be eligible for a potential award supporting your submission, please ensure you submit your abstract at least two weeks before submitting your manuscript.
Brain-Computer Interfaces (BCIs) have emerged as a transformative technology within the fields of neuroprosthetics and neurorehabilitation, providing novel avenues for restoring, augmenting, or substituting lost sensory and motor functions in individuals with neurological impairments. BCIs enable direct communication between external devices and neural circuits, including both central and peripheral nervous systems. By bypassing muscle-based pathways, these systems offer therapeutic and rehabilitative opportunities across a wide range of clinical conditions. The convergence of advances in neuroscience, machine learning/deep learning (ML/DL), artificial intelligence (AI), and material science has laid the groundwork for next-generation BCI systems characterized by increased precision, biocompatibility, and adaptive capabilities.
The scope of this Research Topic encompasses the full spectrum of research and development in BCI-driven neuroprosthetic and neurorehabilitation systems. This includes, but is not limited to, invasive and non-invasive interface technologies, neural decoding algorithms, hardware innovations, and translational and clinical studies. We invite contributions that address foundational neurophysiological mechanisms underlying BCI control, as well as applied research focused on end-user performance, usability, and long-term outcomes. Interdisciplinary work that bridges engineering, computational neuroscience, clinical medicine, and bioethics is particularly encouraged in order to foster a comprehensive understanding of the challenges and prospects of BCI-integrated systems.
Submissions may explore, but are not limited to, the following topics:
• Neurophysiological Bases of BCI Control
• Signal Acquisition and Processing
• Neural Decoding, Machine Learning/Deep Learning, and AI Algorithms
• Closed-Loop Neuromodulation Systems
• Wearable and Implantable BCI Devices
• Integration and User Adaptation
• Clinical Translation and Validation
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FAIR² DATA Direct Submission
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Hypothesis and Theory
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Article types
This Research Topic accepts the following article types, unless otherwise specified in the Research Topic description:
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