title: Predicting oculomotor behaviour from correlated populations of posterior parietal neurons.
abstract: Oculomotor function critically depends on how signals representing saccade direction and eye position are combined across neurons in the lateral intraparietal (LIP) area of the posterior parietal cortex. Here we show that populations of parietal neurons exhibit correlated variability, and that using these interneuronal correlations yields oculomotor predictions that are more accurate and also less uncertain. The structure of LIP population responses is therefore essential for reliable read-out of oculomotor behaviour.
authors.affiliation: Division of Biology and Biological Engineering, California Institute of Technology, 1200 E. California Boulevard, MC 216-76, Pasadena, California 91125, USA.
authors.forename: Arnulf B A
authors.initials: AB
authors.lastname: Graf
authors.affiliation: Division of Biology and Biological Engineering, California Institute of Technology, 1200 E. California Boulevard, MC 216-76, Pasadena, California 91125, USA.
authors.forename: Richard A
authors.initials: RA
authors.lastname: Andersen
mesh_terms: D000818:Animals; D004594:Electrophysiology; D005133:Eye Movements; D008253:Macaca mulatta; D008297:Male; D008568:Memory / Q000502:physiology*; D008959:Models, Neurological; D009474:Neurons / Q000502:physiology*; D016011:Normal Distribution; D010296:Parietal Lobe / Q000473:pathology*; D010775:Photic Stimulation; D015203:Reproducibility of Results; D012438:Saccades