Computational Intelligence and Neuroscience is a forum for the interdisciplinary field of neural computing, neural engineering, and artificial intelligence, where neuroscientists, cognitive scientists, engineers, psychologists, physicists, computer scientists, and AI researchers can publish their work in one periodical that bridges the gap between neuroscience, AI, and engineering.The journal provides research and review papers at an interdisciplinary level, with the field of intelligent systems for computational neuroscience as its focus. This includes artificial intelligence, computational theories of human cognition, perception and motivation, brain models, artificial neural nets, and neural computing.The scope covers theoretical and practical systems including applicable neural network theory, supervised and unsupervised learning, algorithms, architectures, performance measures, applied statistics, simulations, hardware implementations, benchmarks, system integration, and innovative applications.The journal spans disciplines such as computer science, mathematics, physics, psychology, cognitive science, medicine, and neurobiology. It welcomes work on computational intelligence and neuroscience at the levels of neural networks, cells, or sub-cellular structures.