Objective The investigations within this joint research project will concentrate on colour contrast mechanisms in humans using a spherical model of colour discrimination. The main hypothesis concerns the assumption that colours induced by contrast fit the spherical model colour discrimination. According to this model all perceived colours of different wavelength and intensity can be represented as points on the spherical surface of the four-dimensional hypersphere. Three spherical co-ordinates represent perceptual characteristics of colour such as hue, saturation and brightness, while the Cartesian co-ordinates describe the characteristics of neural mechanisms involved in colour discrimination. The study will include psychophysical experiments and recording of bio-potentials. The psychophysical data will be summarized in a model which predicts colour contrast evoked by the test/background configuration. This model will describe both achromatic and chromatic colour contrast and will be evaluated with respect to the four-dimensional spherical model of colour coding.The colour-dependent biopotentials will be used in experiments directed to reveal brain mechanisms of colour contrast. Each stage of experiments will be supplemented by a model representing quantitative aspects of contrast phenomena. Programme(s) IC-INTAS - International Association for the promotion of cooperation with scientists from the independent states of the former Soviet Union (INTAS), 1993- Topic(s) 72 - Social Sciences Call for proposal Data not available Funding Scheme Data not available Coordinator Katholieke Universiteit Nijmegen EU contribution No data Address Montessorilaan 3 6500 HE Nijmegen Netherlands See on map Total cost No data Participants (2) Sort alphabetically Sort by EU Contribution Expand all Collapse all Moscow State University M.V. Lomonosov Russia EU contribution No data Address 103009 Moscow See on map Total cost No data University of Jyväskylä Finland EU contribution No data Address 40351 Jyväskylä See on map Total cost No data