title: Cluster method for analysis of transmitted information in multivariate neuronal data.
abstract: A new method for quantifying the transmitted information and channel capacity of high-dimensional data, based on cluster formation, is described. The method's ability to handle high-dimensional data allows for a complete measurement of information transmitted by neuronal data. It is computationally efficient in terms of both processing time and memory storage. Application of the method to the responses of a VI neuron shows that more information was transmitted about the pattern of stimuli than about their color.
authors.affiliation: Laboratory of Sensorimotor Research, National Eye Institute, Bethesda, MD 20892.
authors.forename: M N
authors.initials: MN
authors.lastname: Chee-Orts
authors.forename: L M
authors.initials: LM
authors.lastname: Optican
mesh_terms: D000818:Animals; D003198:Computer Simulation; D006801:Humans; D008433:Mathematics; D008959:Models, Neurological; D009474:Neurons / Q000502:physiology*