Computation - Theory - Machine Learning

Matteucci G, Zattera B, Bellacosa Marotti R, & Zoccolan D (2021). Rats spontaneously perceive global motion direction of drifting plaids. Plos Comp. Biol. 17(9): e1009415 [link] [pdf]

Romeni S, Zoccolan D & Micera S (2021). A machine learning framework to optimize opic nerve electrical stimulation for vision restoration. Patterns 2(7), 100286 [link] [pdf] [commentary]

Ansuini A, Laio A, Macke J & Zoccolan D (2019). Intrinsic dimension of data representations in deep neural networks. Adv. Neural Info. Processing Systems (NeurIPS) 33 [link] [pdf] [seminar]

Vascon S, Parin Y, Annavini E, D’Andola M, Zoccolan D & Pelillo M (2018). Characterization of visual object representations in rat primary visual cortex. In Leal-Taixe‘ L, Roth S (eds.) Computer Vision - ECCV 2018 Workshops. ECCV 2018. Lect. Notes Comp. Science 11131, 577-586 [link] [preprint]

Li N, Cox DD, Zoccolan D & DiCarlo JJ (2009). What response properties do individual neurons need to underlie object recognition in clutter? J. Neurophys. 102, 360-376 [link] [pdf]