Commentary Open Access

NeuroAI: Bridging Biological Intelligence and Machine Learning for Next-Generation Cognitive Systems

Abstract

NeuroAI is an emerging interdisciplinary field that integrates neuroscience and artificial intelligence to develop computational models inspired by the brain while simultaneously using AI to decode neural mechanisms. This convergence aims to address fundamental limitations in current AI systems, such as inefficiency in learning, lack of adaptability, and poor interpretability, while also advancing neuroscience through data-driven modeling and simulation. Recent advances in deep learning, neuromorphic computing, and brain-inspired architectures have intensified interest in NeuroAI as a framework for understanding intelligence in both biological and artificial systems. This commentary explores the conceptual foundations, methodological approaches, applications, and future directions of NeuroAI, highlighting its potential to redefine cognitive computing and biomedical innovation.

Michael R. Thompson

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