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An Application-Based Taxonomy for Brain–computer Interfaces

Jacob T Robinson, Sumner L Norman Nicolas Vachicouras,Chong Xie

Nature biomedical engineering(2025)

Rice University | Forest Neurotech | Paradromics Inc | Department of Electrical and Electronic Engineering | Department of Engineering Science | Department of Neuroscience and School of Engineering | Kernel | Cognixion Corporation | CNRS | The University of Texas at Austin | Toronto | Department of Electrical and Computer Engineering | Emory University and Georgia Institute of Technology | Department of Physiology and Pharmacology | School of Electrical and Computer Engineering | University of Southern California | Institutes of Electrical and Micro Engineering and Neuro-X | Department of Neurosurgery | Department of Neurological Surgery | Neurosoft Bioelectronics SA

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Abstract
Naming brain–computer interfaces according to their intended application will assist stakeholders in the evaluation of the benefits and risks of neurotechnologies.
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