Neuromorphic Chips at the Intersection of Neuroscience, Electronics and AI

Dear Colleagues,

Neuromorphic chips—integrating concepts from neuroscience, electronics, and artificial intelligence—are revolutionizing the landscape of intelligent hardware and computing systems. By mimicking the neural structures and processes of the brain, neuromorphic devices offer new opportunities for efficient, adaptive, and low-power computation well-suited for edge AI, brain–computer interfaces, robotics, sensory processing, and more.

Recent advances in device technologies, circuit architectures, and computational models have enabled the development of neuromorphic systems that can process information in real time, adapt to changing environments, and learn from experience—just like biological brains. These innovations bridge the gap between neuroscience-inspired algorithms and scalable silicon implementations, fostering a new generation of chips that combine the best of biological and artificial intelligence.

This Special Issue aims to showcase recent breakthroughs in neuromorphic hardware and systems at the intersection of neuroscience, electronics, and AI. We welcome submissions covering innovative circuit and system designs, emerging device technologies, brain-inspired algorithms, in-memory and event-driven computing, sensory processing hardware, and real-world applications of neuromorphic chips. We particularly encourage interdisciplinary works that highlight the synergy among neuroscience, microelectronics, and artificial intelligence.

We look forward to your contributions that will drive the future of intelligent, brain-inspired hardware.

Dr. Liangshun Wu
Dr. Pak Kwong Chan
Guest Editors

Manuscript Submission Information

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