Neural Computation is a leading scholarly journal covering the rapidly evolving field of neural networks and computational neuroscience. It is recognized for publishing high-quality research on neural computation. The journal bridges theoretical and experimental approaches to understanding brain function and artificial intelligence. With a focus on interdisciplinary research, it brings together diverse perspectives on computation in neural systems.
Key areas include machine learning, deep learning, cognitive science, and neurobiology. Neural Computation publishes original research articles and reviews on a wide array of topics. It is indexed in major databases, such as Scopus, Web of Science, and Google Scholar. Its target audience comprises computer scientists, neuroscientists, cognitive scientists, and artificial intelligence researchers.
Researchers are invited to submit their cutting-edge work, contributing to Neural Computation's reputation for excellence. By promoting innovation and interdisciplinary collaboration, Neural Computation continues to drive advances in our understanding of intelligence, both biological and artificial. Explore the latest research and contribute your findings to this impactful journal.