Neuromorphic Computing and Engineering is a multidisciplinary journal that explores the design, development, and application of brain-inspired computing systems. It bridges the gap between neuroscience, computer science, and engineering, providing a platform for researchers to share their latest advances in this rapidly evolving field.
The journal's scope includes neuromorphic architectures, algorithms, devices, and applications, with a focus on energy efficiency, fault tolerance, and real-time processing capabilities. Key topics covered are spiking neural networks, memristors, and event-based sensors, as well as the use of neuromorphic systems for robotics, pattern recognition, and artificial intelligence. Indexed in Scopus and Web of Science.
Neuromorphic Computing and Engineering aims to accelerate the development of intelligent systems by promoting the exchange of ideas and expertise across disciplines. Researchers are invited to submit their innovative work, contributing to the journal's standing as a leading resource in the field.