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Adaptive Brain Lab



My background is in Cognitive Science and during my undergraduate and MSc degrees at the University of Trento (UniTN - CIMeC, Italy) I worked with Prof. David Melcher investigating emotional modulations of attention using abstract artworks. This required the use of machine learning and pattern classification techniques, together with analysis of image complexity/scene statistics. After graduating with honours at the University of Trento, I joined Denis Schluppeck’s lab at the University of Nottingham (UoN) for my PhD on biases in perception of visual motion, using behavioural [1], eye-tracking, and imaging (fMRI) methods. I joined the Adaptive Brain Lab in October 2017 as a Postdoctoral Research Associate, and will be working with Prof. Zoe Kourtzi on functional properties and connectivity of cortical layers in sensory (visual) and cognitive areas of the human brain.

Outside the lab, I enjoy long cycle rides, running and baking.


Broadly, I am interested in computational and theoretical neuroscience aimed at obtaining a quantitative understanding of brain functions through mathematical models of the brain at multiple scales. My current project uses dynamic functional connectivity and high-field fMRI (7T) to investigate the timecourse of adaptation in the visual cortex and how this affects the rest of the brain.

Read more about Ultra high-field mechanisms of sensory adaptation across cortical depth


Key publications: 

[1] Zamboni E., Ledgeway T., McGraw P.V., & Schluppeck D. (2016) 'Do perceptual biases emerge early or late in visual processing? Decision-biases in motion perception.' Proc. R. Soc. B 283: 20160263

Not available for consultancy