Human Intelligence Upgradation Using Artificial Intelligence Inspired by Neuroscience Models

Omkar Satish Dhekane , Rohan Nivrutti Yadav , Jaydeep Prakash Survase , Ashutosh Vikas Malape , Rohan Popat Savle

Brain -Computer Interface, Artificial Intelligence, Neuroscience, Neural Decoding, EEG, Neural Networks, Neuroprosthetics, Signal Processing.

Artificial Intelligence (AI) has developed rapidly, and it was able to show its capabilities for automation of the task and support for a decision making that is complicated. However, AI systems don't self-improve and depend on humans to upgrade such software. The human brain is extremely plastic and able to learn and grow throughout a person’s lifetime, however. Theoretical neuroscience explains the brain mechanisms associated with how people process information, learn, and adapt. The combination of neurally-inspired models and AI systems also paves the way for replacing, not just augmenting human intelligence. In this chapter, we explore an alternative: how neuroscience may inform inspired AI about augmenting human cognitive skills that bring greatest value-increase in the form of learning faster, remembering more, deciding better and solving problems better. Furthermore, it presents the architecture, applications, issues and possible research directions for the system from a Computer Science and Engineering perspective.

Published Paper   E-Certificate

"Human Intelligence Upgradation Using Artificial Intelligence Inspired by Neuroscience Models", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.11, Issue 1, page no.a725-a735, January-2026, Available :https://ijsdr.org/papers/IJSDR2601079.pdf

Volume 11 Issue 1, January-2026

Pages : a725-a735

Paper Reg. ID: IJSDR_306866

Published Paper Id: IJSDR2601079

Downloads: 000368

Research Area: Science and Technology

Country: PANDHARPUR, Maharashtra, India

Published Paper PDF: https://ijsdr.org/papers/IJSDR2601079

Published Paper URL: https://ijsdr.org/viewpaperforall?paper=IJSDR2601079

ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Publisher: IJSDR(IJ Publication) Janvi Wave

This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition