A Review on Brain Implants

A Dilna Satheesan

A Dilna Satheesan Student, Department of Computer Engineering, KC College of Engineering and Management Studies and Research Thane, Maharashtra, India

Abstract

The utilization of artificial gadgets to control the working of different parts in a person has seen an upsurge in the most recent decade, which has prompted voluminous consultations and suspicion. This paper presents a thorough conversation of a few tests led on cerebrum embeds, their outcomes, research holes, conceivable future progressions, and the neuro-moral vantage point for proceeded with utilization of brain implants in patients. Brain Implants helps in solving problems like motor-neuron problem. It has been proved by scientific studies that it improves human memory. It can be used to solve problems of time inefficiency in communication, and it is also used to solve problems related to spine. The implementation of optimized neuromorphic hardware as a highly promising solution for future ultra-low-power cognitive systems. Treat brain disorders, and then ultimately to enhance our brains to create a sort of "symbiosis" with artificially intelligent machines Brain Implants are of following types: Deep Brain Stimulation, Stentrode, Bioresorbable implants. By exploring various brain-inspired technologies and knowing its benefits to humans, it sort of gives human body superpowers, it is expected to see more growth in the sector of Brain Chip Implants.

How to cite this article:
Satheesan AD, Deshmukh C, Dwivedi A et al. A Review on Brain Implants. J Adv Res Appl Arti Intel Neural Netw 2021; 5(1): 15-21

References

1. Porrill, J., Dean, P., & Stone, J. V. (2004). Recurrent cerebellar architecture solves the motor-error problem. Proceedings of the Royal Society B: Biological Sciences, 271(1541), p789–796. doi:10.1098/rspb.2003.2658
2. Yuvaraj L., Sankar S. R., & Selvaraj D. (2016). Integrated brain implant using Nano memory. 2016 International Conference on Wireless Communications, Signal Processing and Networking (WiSPNET). doi:10.1109/wispnet.2016.7566318
3. Patrick Mahoney (June 21, 2007). Wireless is getting under our skin. Machine Design. Archived from the original on 2008-06- 04. Retrieved 2011-08-14.
4. Minimally Invasive Stentrode Shows Potential as Neural Interface for Brain. DARPA. DARPA. February 8, 2016. Retrieved November 24, 2019.
5. Simultaneous bilateral stereotactic procedure for deep brain stimulation implants: a significant step for reducing operation time; Erich Talamoni Fonoff et al; DOI: https://doi.org/10.3171/2015.7.JNS151026 Online Publication Date: Jul 2016

6. The Application of Implant Technology for Cybernetic Systems Kevin Warwick, DSc; Mark Gasson, BSc; Ben- jamin Hutt, PhD; et al Arch Neurol. 2003;60(10):1369-1373. doi:10.1001/archneur.60.10.1369
7. Tiny electronic implants monitor brain injury, then melt away. University of Illinois at Urbana–Champaign. January 18, 2016.
8. Synchron Launches Trial of Stentrode device in Paralysis patients. Medical Device Network. April 9, 2019. Retrieved November 24, 2019.
9. Bionic age begins- an interview of Richard Andersen
10. Neuroethics- K L Sifferd, Elmhurst College, Elmhurst, IL, USA
11. Deep Brain Stimulation- A Way to Rebalance Neural Circuits Reviewed by Alexander Green, FRCS(SN) MD, MB, BS, BSc; Member, International Neuromodulation Society
12. Deep Brain Stimulation May Put Parkinson’s Patients at Risk for Drowning— Proficient swimmers discover swimming skills impaired after DBS - by Judy George, Senior Staff Writer, MedPage Today November 27, 2019
13. Philosophy and psychiatry- by Thomas Schramme and Johannes Thome
14. Mingui Sun, Mickle, M., Wei Liang, Qiang Liu, & Sclabassi, R. J. (2003). Data communication between brain implants and computer. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 11(2), 189–192. doi:10.1109/tnsre.2003.814421
15. C. A. Desoer and E. S. Kuh, Basic Circuit Theory.
New York: McGraw-Hill, 1969
16. M. Sun, S. Qian, X. Yan, S. B. Baumman, X.-G. Xia,
R. E. Dahl, N. D. Ryan, and R. J. Sclabassi, “Localizing functional activity in the brain through time-frequency analysis and synthesis of the EEG,” Proc. IEEE, vol. 84, pp. 1302–1311, Sept. 1996.
17. Brain-Inspired Technologies: Towards Chips that Think? Barbara De Salvo, Chief Scientist and Scientific Director CEA-Leti, Université Grenoble Alpes, France
18. The Neocortical Circuit: Themes and Variations,
Harris KD et al., Nat Neurosci., 2, p.170, 2015
19. Reservoir Computing Approaches to Recurrent Neural Network Training, M. Lukoševicius et al., Computer Science Review, 3, 3, p.127, 2009.