About the Journal
ASP Transactions on Neural Information Computing (ISSN: 2789-0511) aims to publish high-quality research on the intersection of neural networks, information processing, and computational intelligence. The journal focuses on novel algorithms, models, and applications of neural computing, including but not limited to deep learning, reinforcement learning, bio-inspired computing, and cognitive computing. It encourages interdisciplinary studies that bridge theory and practical implementations, addressing real-world challenges in areas such as artificial intelligence, robotics, data analytics, and neuroinformatics. Through rigorous peer review, the journal seeks to advance the understanding and application of neural information computing, fostering innovation and collaboration across academia and industry.
