Focus on neural computation and theory

Deep understanding in neuroscience comes from the complementary embrace of theory and experiment. This has been the case in the past, and is only going to become truer in the future. The ability to perform increasingly large parallel measurements of neural activity has been one of the more exciting developments in experimental neuroscience. However, the increased data collection necessitates progressively sophisticated computational techniques and theoretical frameworks to inform our understanding. Nature Neuroscience is pleased to present a special issue focused on recent advances in computational and theoretical neuroscience that highlight the current thinking and unanswered questions on topics that include neural networks and coding, memory formation, sensory perception and decision-making, and psychiatric illness.