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Neuralink-Based Brain–Computer Interfaces: System and Operational Methodology of Neuralink BCI


Authors : Arjun D.; Divya P.

Volume/Issue : Volume 11 - 2026, Issue 3 - March


Google Scholar : https://tinyurl.com/57kbx78u

Scribd : https://tinyurl.com/v37nwaa7

DOI : https://doi.org/10.38124/ijisrt/26mar472

Note : A published paper may take 4-5 working days from the publication date to appear in PlumX Metrics, Semantic Scholar, and ResearchGate.


Abstract : Brain–Computer Interface (BCI) technology has emerged as an important interdisciplinary field combining neuroscience, biomedical engineering, and artificial intelligence to enable direct communication between the human brain and external digital systems. Among the recent developments in this domain, Neuralink has attracted significant attention for its attempt to develop implantable, high-bandwidth neural interface devices capable of recording and stimulating neural activity. This paper presents a comprehensive review of Neuralink’s brain–computer interface system, focusing on its device architecture, implantation technique, neural signal acquisition, and processing mechanisms. The study also discusses the potential clinical applications of the technology in neurological rehabilitation, including paralysis treatment and communication assistance for motor-impaired individuals. Furthermore, the paper examines major challenges associated with implantable neurotechnology, such as long-term biocompatibility, surgical risks, neural data security, and ethical concerns related to cognitive privacy and human enhancement. By synthesizing findings from recent scientific literature and technical reports, this review highlights both the transformative potential and the limitations of Neuralink’s approach. The study concludes that although the technology demonstrates promising therapeutic possibilities, further experimental validation, regulatory oversight, and ethical governance are necessary before widespread clinical adoption.

Keywords : Artificial intelligence, Bio-medical implants, Brain-Computer Interface, Neuralink, Neuroethics Neural Engineering.

References :

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Brain–Computer Interface (BCI) technology has emerged as an important interdisciplinary field combining neuroscience, biomedical engineering, and artificial intelligence to enable direct communication between the human brain and external digital systems. Among the recent developments in this domain, Neuralink has attracted significant attention for its attempt to develop implantable, high-bandwidth neural interface devices capable of recording and stimulating neural activity. This paper presents a comprehensive review of Neuralink’s brain–computer interface system, focusing on its device architecture, implantation technique, neural signal acquisition, and processing mechanisms. The study also discusses the potential clinical applications of the technology in neurological rehabilitation, including paralysis treatment and communication assistance for motor-impaired individuals. Furthermore, the paper examines major challenges associated with implantable neurotechnology, such as long-term biocompatibility, surgical risks, neural data security, and ethical concerns related to cognitive privacy and human enhancement. By synthesizing findings from recent scientific literature and technical reports, this review highlights both the transformative potential and the limitations of Neuralink’s approach. The study concludes that although the technology demonstrates promising therapeutic possibilities, further experimental validation, regulatory oversight, and ethical governance are necessary before widespread clinical adoption.

Keywords : Artificial intelligence, Bio-medical implants, Brain-Computer Interface, Neuralink, Neuroethics Neural Engineering.

Paper Submission Last Date
31 - March - 2026

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