Bioengineered Neural Interfaces for Improved Brain-Computer Interactions

Authors

Keywords:

BCI, Neuro Devices, Neural Electrodes, Neuro Implants, Neural Interfaces

Abstract

Neural interfaces are bioengineered materials that provide improved bist between neural tissues and computers or other devices. This paper aims at discussing the advancement and use of these interfaces, in close consideration of the ways in which it may enhance the Accuracy and resilience of BCIs. These interfaces are designed to be incorporating with the neural tissue by using the novel biomaterials and fabrication approaches while keeping low immune reactions and high signal quality levels. These are the flexible and biocompatible surfaces for recording and stimulating the brain signals and high-density microelectrode arrays. The application of these two possibilities shows great potential in optimizing the functioning of BCIs and helping in better control of prosthetic limbs, new models of neuro prostheses, as well as in the improvement of therapeutic treatments for neurological disorders. As such, this study underlines the fundamental contribution of BE neural interfaces for the development of neuro technology and the nearer future BWI designs, which will elicit progressive improvement of the BCI systems’ efficacy in enhancing the patients’ quality and longevity of life.

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Author Biographies

  • KARTHIKEYAN R, University College of Engineering, Pattukkottai

    Mr. Karthikeyan R., an accomplished academic and researcher in Computer Science and Engineering, has made significant contributions to the fields of wireless Sensor Networks, IoT, and network security. Currently He is  Persuing Ph.D. Scholar (Part time) from Dhanalakshmi Srinivasan University and has been actively involved in teaching and research. His scholarly output includes 2 SCOPUS-indexed papers, book chapters, and conference presentations, alongside a publication in a Copyright. Additionally, he has authored one patents, with two at the national level recognized.

    Mr. Karthikeyan has served in multiple editorial roles, including positions in prominent SCOPUS-indexed journals such as Journal of VLSI Circuits and Systems and Advances in Science, Technology, and Engineering Systems Journal. He has also contributed to editorial boards of other notable journals like Spectrum Journal and Journal of Wireless Sensor Networks and IoT. Furthermore, he has co-edited impactful book chapters, such as Digital Twin Technology and AI Implementations in Future-Focused Businesses and Enhancing Security in Public Spaces Through Generative Adversarial Networks.

    In addition to his academic achievements, Mr. Karthikeyan has mentored students in various technology programs and courses, showcasing his dedication to education and innovation. His research and editorial expertise reflect his commitment to advancing interdisciplinary knowledge and fostering technological progress.

  • Dr Swaminathan K, university College of Engineering, Pattukkottai

    Dr. Swaminathan K., an accomplished academic and researcher in Electronics and Communication Engineering, has made significant contributions to the fields of wireless communication, IoT, and network security. He holds a Ph.D. from Anna University and has been actively involved in teaching and research. His scholarly output includes 21 SCOPUS-indexed papers, book chapters, and conference presentations, alongside a publication in an SCI-indexed journal. Additionally, he has authored eight patents, with seven at the national level and one internationally recognized.

    Dr. Swaminathan has served in multiple editorial roles, including positions in prominent SCOPUS-indexed journals such as Journal of VLSI Circuits and Systems and Advances in Science, Technology, and Engineering Systems Journal. He has also contributed to editorial boards of other notable journals like Spectrum Journal and Journal of Wireless Sensor Networks and IoT. Furthermore, he has co-edited impactful book chapters, such as Digital Twin Technology and AI Implementations in Future-Focused Businesses and Enhancing Security in Public Spaces Through Generative Adversarial Networks.

    In addition to his academic achievements, Dr. Swaminathan has mentored students in various technology programs and courses, showcasing his dedication to education and innovation. His research and editorial expertise reflect his commitment to advancing interdisciplinary knowledge and fostering technological progress.

  • Dr Sivaram Ponnusamy, Professor, School of CSE, Sandip University, Nashik, Maharashtra, India

    Dr Sivaram Ponnusamy is a distinguished academic and researcher with computer science, electrical engineering, and business management expertise. With qualifications such as a B.E. in Electrical and Electronics Engineering, an M.E. in Computer Science, a Ph.D., and an MBA in Project Management, he serves as a professor and research supervisor in engineering colleges and universities, specializing in artificial intelligence and computer science. Dr. Ponnusamy has filed multiple patents in cutting-edge technologies, ranging from remote voting systems to AI-based attendance management and environmental analysis tools. His work includes editing several Scopus-indexed books on AI applications, digital twin technology, and women's safety, with ongoing international projects in AI research. As an active member of various professional bodies, including IAENG and ISOC, he also contributes as a reviewer for reputed journals. Recognized for his academic contributions, he was awarded by the Thanjavur District Collector for developing an innovative Android-based meeting management tool. Additionally, Dr. Ponnusamy frequently chairs international conferences and conducts seminars on the latest technological trends, making significant contributions to AI, machine learning, and software development. He is the research supervisor for several research scholars, and his IGI-Global Profile URL is https://www.igi-global.com/affiliate/sivaram-ponnusamy/449070.

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Published

31.03.2025

How to Cite

Bioengineered Neural Interfaces for Improved Brain-Computer Interactions. (2025). International Journal of Multidisciplinary Global Research, 2(1), 10-21. https://ijmgr.igrf.co.in/index.php/ijmgr/article/view/3

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