title: Neural correlations, population coding and computation.
abstract: How the brain encodes information in population activity, and how it combines and manipulates that activity as it carries out computations, are questions that lie at the heart of systems neuroscience. During the past decade, with the advent of multi-electrode recording and improved theoretical models, these questions have begun to yield answers. However, a complete understanding of neuronal variability, and, in particular, how it affects population codes, is missing. This is because variability in the brain is typically correlated, and although the exact effects of these correlations are not known, it is known that they can be large. Here, we review studies that address the interaction between neuronal noise and population codes, and discuss their implications for population coding in general.
authors.affiliation: Department of Brain and Cognitive Sciences and Center for Visual Science, University of Rochester, Rochester, New York 14627, USA.
authors.forename: Bruno B
authors.initials: BB
authors.lastname: Averbeck
authors.forename: Peter E
authors.initials: PE
authors.lastname: Latham
authors.forename: Alexandre
authors.initials: A
authors.lastname: Pouget
mesh_terms: D000200:Action Potentials / Q000502:physiology; D000818:Animals; D001921:Brain / Q000502:physiology*; D006801:Humans; D008959:Models, Neurological; D009415:Nerve Net / Q000502:physiology; D016571:Neural Networks, Computer; D009474:Neurons / Q000145:classification / Q000502:physiology*