The NeuroComputation and Biological Vision Team (NeuroBiT) conducts fundamental, experimental and computational modelling research on the mechanisms of human visual perception, being at the frontier between Computational Neuroscience and Computer Vision. It addresses problems by combining both, computational modelling tools and psychophysical experimentation. Recent research lines of our members, have been focused on the study of processes such as colour perception (categorisation, chromatic induction and colour constancy), visual discrimination, high dynamic range visualisation techniques; visual saliency, and applications to perceptual image compression and image quality. Most of our past research experience and background involves the development of high-level biologically-inspired computational models whose fundamentals are firmly grounded on psychophysical studies of human perception. Our present interest also includes the definition of biologically-plausible, mid-level architectures which simulate the network dynamic characteristics of the human visual cortex and the use of computational learning techniques to map the output of our models to complex phenomena. Our final objective is to apply our knowledge to solve important Computer Vision problems and provide some answers to medical and biological questions.