Research line: Computational neuroscience & neuroaesthetics



Computational neuroscience is a sub-field of theoretical neuroscience, which uses advanced model abstraction to describe the features of certain biological systems at multiple spatial and temporal scales. The models frame hypotheses can be tested by biological or psychological experiments. Recently at IrcCAN, we proposed a similar approach applied to aesthetics: by isolating significant factors involved in the perception process of a set of aesthetics stimuli, we intended to develop a protocol aiming at explaining the visual aesthetics experience by taking into account psychometrical, neuropsychological, neurophysiological data.




Keywords: Computational neuroscience; Algorithm; Neuroaesthetics