neuroscience; computational; correlations; attention; information
Kohn Adam, Coen-Cagli Ruben, Kanitscheider Ingmar, Pouget Alexandre (2016), Correlations and Neuronal Population Information., in Annual review of neuroscience
, 39, 237-56.
Pitkow Xaq, Liu Sheng, Angelaki Dora E, DeAngelis Gregory C, Pouget Alexandre (2015), How Can Single Sensory Neurons Predict Behavior?, in Neuron
, 87(2), 411-23.
Kanitscheider Ingmar, Coen-Cagli Ruben, Kohn Adam, Pouget Alexandre (2015), Measuring Fisher information accurately in correlated neural populations., in PLoS computational biology
, 11(6), 1004218-1004218.
Kanitscheider Ingmar, Coen-Cagli Ruben, Pouget Alexandre (2015), Origin of information-limiting noise correlations., in Proceedings of the National Academy of Sciences of the United States of America
, 112(50), 6973-82.
Moreno-Bote R., Beck J., Pitkow X., Kanischeider I., Latham P.E., Pouget A. (2014), Information-limiting correlations., in Nature Neuroscience
, 17(10), 1410-1417.
Population codes are the most common codes in the nervous system. Understanding how they are used to represent information, to carry out computations and to control behavior, are some of the most important questions in modern neuroscience. The present proposal focuses specifically on understanding what controls the amount of information in population codes and how information can be increased in a task dependent manner by engaging selective attention. This theoretical work will be developed for the specific case of the orientation of visual contours, but our results will be readily applicable to any other domain in which the variables of interest are encoded with population codes.