Intelligence BALA-NET: A Bio-Inspired Adaptive Learning Neuromorphic AI for Real-Time

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

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Publication Details

Journal
International Research Journal on Advanced Engineering Hub (IRJAEH)
Published
2025-04-02
DOI
https://doi.org/10.47392/irjaeh.2025.0175
Primary Topic
Neural Networks and Applications
Type
article
Field-Weighted Citation Impact
0.00
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article

Intelligence BALA-NET: A Bio-Inspired Adaptive Learning Neuromorphic AI for Real-Time

M. Mohan, G. H. S., Arlete Rodrigues, A. Franco et al.
International Research Journal on Advanced Engineering Hub (IRJAEH)
Neural Networks and Applications
article

Intelligence BALA-NET: A Bio-Inspired Adaptive Learning Neuromorphic AI for Real-Time

M. Mohan, G. H. S., Arlete Rodrigues, A. Franco, S Melkibson., Andrew Jefrin
article en

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

International Research Journal on Advanced Engineering Hub (IRJAEH)Vol. 3(04)
Saint Joseph's College (US)
Openalex Percentile: Top 97%
Neural Networks and Applications
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