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
Authors
- M. Mohan
- G. H. S.
- Arlete Rodrigues (ORCID: https://orcid.org/0000-0002-6966-1486)
- A. Franco
- S Melkibson.
- Andrew Jefrin
Institutions
- Saint Joseph's College (US)
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