Florida Gulf Coast University
United States of America
He is a computational neuroscientist and vision scientist who is interested in understanding the relationship between perception, the neural code, and the statistical structure of the natural sensory environment. In particular, I am interested in (1) Developing adaptive stimulus design methods for real-time estimation of sensory processing models, and (2) Understanding how multiple visual cues are combined to perceive complex natural stimuli like edges, contours and shapes.
DiMattina & Zhang (2013). “Adaptive stimulus optimization for sensory systems neuroscience”. Frontiers in Neural Circuits 7:101, 1-16.
DiMattina, C. (2015). “Fast adaptive estimation of multidimensional psychometric functions”. Journal of Vision 15 (9):5, 1-20
DiMattina, C. (2016). “Comparing models of contrast gain using psychophysical experiments. Journal of Vision 16(9):1, 1-18.”