PhD Student in Cognitive Computational and Social Neuroscience - II° year.
My research concerns modeling cortical computations related to mid-level vision and perceptual grouping in ecological conditions, employing mainly functional magnetic resonance imaging (fMRI) and magnetoencephalography (MEG). Specifically, I’m interested in neural mechanisms involved in scene segmentation and shape features extraction from natural images.
Education and experience
I’m member of the MoMiLab, leaded by Pietro Pietrini and Emiliano Ricciardi, since august 2015. Here I developed several technical skills concerning fMRI data preprocessing, model fitting, statistical inference, machine learning and multivariate pattern analysis. I have obtained a Master’s degree at the School of Architecture of the University of Florence, in 2014. Before being admitted to the doctoral program at IMT Lucca, I have been a PhD student in Engineering and Architecture at the University of Trieste.
Peer reviewed articles:
- Papale P., Leo A., Cecchetti L., Handjaras G., Kay K., Pietrini P., Ricciardi E (2018) Foreground-background segmentation revealed during natural image viewing. eNeuro PDF
- Handjaras, G., Leo, A., Cecchetti, L., Papale, P., Lenci, A., Marotta, G., Pietrini, P. & Ricciardi, E., (2017). Modality-independent encoding of individual concepts in the left parietal cortex. Neuropsychologia PDF
- Papale P., Chiesi L., Rampinini A.C., Pietrini P., Ricciardi E. (2016) When Neuroscience ‘Touches’ Architecture: From Hapticity to a Supramodal Functioning of the Human Brain. Frontiers in Psychology PDF