The NeuroComputation and Biological Vision team conduct fundamental, experimental and computational modelling research on the mechanisms of human visual perception, in the frontier between Computational Neuroscience and Artificial Intelligence.
Since the human brain has already solved most vision problems, our ultimate goal is to utilise this millions-of-years-old knowledge to crack today’s complex scientific, technological and medical questions. We address these by combining computational modelling tools, neuroscience knowledge and psychophysical experimentation.
Our main expertise is in the development of computational models that are firmly grounded on neurophysiological and psychophysical studies of human perception. These may include simpler, high-level “biologically-inspired” algorithms, mid-level architectures which simulate the network dynamics of the human visual cortex or more sophisticated and biologically-plausible, low-level spiking models.
Current interests of the group include perceptual and cognitive processes related to colour perception (colour naming, chromatic induction and colour constancy), visual aesthetics and discomfort, migraines, visual discrimination, visual saliency, high dynamic range images, biological and computational learning.