Confronting the Barriers: A Holistic Analysis of Challenges in Postmortem Brain Data Decoding

Volume: 10 | Issue: 01 | Year 2024 | Subscription
International Journal of Microwave Engineering and Technology
Received Date: 05/21/2024
Acceptance Date: 06/20/2024
Published On: 2024-06-25
First Page: 24
Last Page: 32

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By: K.N. Brahmaji Rao and G.R.S. Murthy

1-Associate Professor, Department of Computer Science & Engineering, Gayatri Vidya Parishad College for Degree & P.G. Courses, Visakhapatnam, Andhra Pradesh, India
2-Student, Department of Computer Science & Engineering, Gayatri Vidya Parishad College for Degree & P.G. Courses, Visakhapatnam, Andhra Pradesh, India

Abstract

The human brain, a complex organ, has the potential to store vast amounts of information, including knowledge, experiences, and memories. However, retrieving this data after death has been a subject of scientific investigation due to its intricate neuronal pathways and connections. This study examines the current methods used for recovering postmortem brain data, highlighting their advantages, disadvantages, and potential future advancements. It also discusses the ethical issues surrounding the extraction and sharing of personal information from the deceased. The study aims to clarify the challenges and opportunities in this emerging field, while also addressing the ethical implications of extracting and sharing personal information from the deceased.

Keywords: Postmortem Brain Data Retrieval, Memory Decoding, Neuroethics, Neural Codes, Memory Engrams, Brain Connectome

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Citation:

How to cite this article: K.N. Brahmaji Rao and G.R.S. Murthy, Confronting the Barriers: A Holistic Analysis of Challenges in Postmortem Brain Data Decoding. International Journal of Microwave Engineering and Technology. 2024; 10(01): 24-32p.

How to cite this URL: K.N. Brahmaji Rao and G.R.S. Murthy, Confronting the Barriers: A Holistic Analysis of Challenges in Postmortem Brain Data Decoding. International Journal of Microwave Engineering and Technology. 2024; 10(01): 24-32p. Available from:https://journalspub.com/publication/ijmet-v10i01-7718/
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