Year: 2025
Type: article
Abstract: BALA-NET is a bio-inspired neuromorphic AI system designed for real-time adaptive learning and decision-making. Leveraging principles from neuroscience and next-generation AI, BALA-NET incorporates Dynamic Spike-Timing-Dependent Plasticity Plus (Dynamic STDP+), Hybrid Memory Mechanisms, and Cross-Layer Neural Communication to enhance efficiency, adaptability, and low-power processing. This paper explores its architectural advancements, the integration of quantum neuromorphic AI, Brain-Computer Interfaces (BCI), and self-rewiring AI, along with challenges and future research directions
Authors: Melkibson. S, Ashwac Franco, Andrew Jefrin, Gowtham.S, Mohan.M, Rama.S
Institution: St. Joseph’s College of Engineering
Language: English
Subfield: Electrical and Electronic Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: diamond
OpenAlex ID: W4409195889