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 :
- Farahany, N. A. (2014). Neuroprivacy: A challenge for the criminal justice system. Journal of Neuroscience, 34(33), 10577–10586.
- Farina, M., & Lavazza, A. (2024). Ethical implications of brain–computer interface enhancement. Neuroethics.
- Flesher, S. N., et al. (2016). Intracortical microstimulation of human somatosensory cortex. Science Translational Medicine, 8(361), 361ra141.
- Greely, H. T. (2013). Neuroscience and criminal justice: Not responsibility but treatment. Kansas Law Review, 62, 1045–1106.
- Hodak, A., et al. (2019). Neuralink’s neurosurgical robot. White paper.
- Musk, E., et al. (2019). An integrated brain-machine interface platform with thousands of channels. bioRxiv. https://doi.org/10.1101/703801
- Naci, L., et al. (2014). An agenda foropen science in cognitive neuroscience. Royal Society Open Science, 1(2), 140095.
- Neuralink Corporation. (n.d.). Officialpublications and technical documentation.
- Barrese, J. C., et al. (2013). Failure mode analysis of silicon-based intracortical microelectrode arrays in non-human primates. Journal of Neural Engineering.
- Campbell, P. K., et al. (1991). A silicon-based, three-dimensional neural interface. IEEE Transactions on Biomedical Engineering.
- Hochberg, L. R., et al. (2012). Reach and grasp by people with tetraplegia using a neurally controlled robotic arm. Nature.
- Ienca, M., & Andorno, R. (2017). Towards new human rights in the age of neuroscience and neurotechnology. Life Sciences, Society and Policy.
- Oxley, T. J., et al. (2016). Minimallyinvasive endovascular stent-electrode array for brain–machine interface. Nature Biotechnology.
- Polikov, V. S., et al. (2005). Response of brain tissue to chronically implanted neural electrodes. Journal of Neuroscience Methods.
- Rousche, P. J., & Normann, R. A. (1998). Chronic intracortical microstimulation. IEEE Transactions on Biomedical Engineering.
- Willett, F. R., et al. (2021). High-performance brain-to-text communication via handwriting decoding. Nature.
- Wolpaw, J. R., et al. (2002). Brain–computer interfaces for communication and control. Clinical Neurophysiology.
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.