Publications

Edited books      

Adibi M, Zoccolan D & Clifford CWG eds.  (2021). Sensory adaptation. Lausanne: Frontiers Media. [link]

Zoccolan D, Cox DD, Benucci A, Reid RC, eds.  (2015). What can simple brains teach us about how vision works. Lausanne: Frontiers Media. doi: 10.3389/978-2-88919-678-4 [link]

Selected Articles       (* contributed equally)     (# invited)     (§ co-corresponding author)

Adibi M#, Zoccolan D# & Clifford CWG# (2021). Editorial: Sensory adaptation. Front. Systems Neurosci. 15: 809000. [link] [pdf] (Frontiers Research Topic Sensory adaptation)

Caramellino R*, Piasini E*, Buccellato A, Carboncino A, Balasubramanian V§ & Zoccolan D§ (2021). Rat sensitivity to multipoint statistics is predicted by efficient coding of natural scenes. eLife. 2021; 10:e72081 [link] [pdf] [commentary on Nature Italy] [seminar]

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]

Piasini E*, Soltuzu L*, Muratore P, Caramellino R, Vinken K, Op De Beeck H, Balasubramanian V & Zoccolan D (2021). Temporal stability of stimulus representation increases along rodent visual cortical hierarchies. Nature Comm. 12, 4448 [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]

Vidal Y, Viviani E, Zoccolan D & Crepaldi D (2021). A general-purpose mechanism of visual feature association in visual word identification and beyond. Curr. Biol. 31(6), 1261-1267 [link] [commentary]

Matteucci G*, Riggi M* & Zoccolan D (2020). A template-matching algorithm for laminar identification of cortical recording sites from evoked response potentials. J. Neurophys. 124, 102-114 [link]

Matteucci G & Zoccolan D (2020). Unsupervised experience with temporal continuity of the visual environment is causally involved in the development of V1 complex cells. Science Adv. 6(22), eaba3742 [link] [pdf] [seminar]

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]

Vanzella W*, Grion N*, Bertolini D, Perissinotto A, Gigante M & Zoccolan D (2019). A passive, camera-based head-tracking system for real-time, three-dimensional estimation of head position and orientation in rodents. J. Neurophys. 122, 2220-2242 [link]

Matteucci G, Bellacosa Marotti R, Riggi M, Rosselli FB§ & Zoccolan D§ (2019). Nonlinear processing of shape information in rat lateral extrastriate cortex. J. Neurosci. 39, 1649-1670 [link] [pdf]

Zoccolan D# & Di Filippo A (2018). Methodological approaches to the behavioral investigation of visual perception in rodents. In Handbook of object novelty recognition, Eds. A Ennaceur  & MA De Sousa Silva [link] [pdf]

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]

Djurdjevic V, Ansuini A, Bertolini D, Macke JH & Zoccolan D (2018). Accuracy of rats in discriminating visual objects is explained by the complexity of their perceptual strategy. Curr. Biol. 28(7), 1005-1015 [link] [pdf] [commentary]

Nikbakht N, Tafreshiha A, Zoccolan D & Diamond ME (2018). Supralinear and supramodal integration of visual and tactile signals in rats: psychophysics and neuronal mechanisms. Neuron 97, 626-639 [link] [pdf] [commentary]

Tafazoli S*, Safaai H*, De Franceschi G, Rosselli FB, Vanzella W, Riggi M, Buffolo F, Panzeri S & Zoccolan D (2017). Emergence of transformation-tolerant representations of visual objects in rat lateral extrastriate cortex. eLife 2017; 6:e22794 [link] [pdf] [commentary]

Zoccolan D#, Cox DD & Benucci A (2015). Editorial: What can simple brains teach us about how vision works. Front. Neural Circuits 9(51). doi: 10.3389/fncir.2015.00051 [link] [pdf] (Frontiers Research Topic What can simple brains teach us about how vision works)

Rosselli FB*, Alemi A*, Ansuini A & Zoccolan D (2015). Object similarity affects the perceptual strategy underlying invariant visual object recognition in rats. Front. Neural Circuits 9(10). doi: 10.3389/fncir.2015.00010 [link] [pdf] (Frontiers Research Topic What can simple brains teach us about how vision works)

Zoccolan D# (2015). Invariant visual object recognition and shape processing in rats. Behav. Brain. Res. 285, 10-33 [link] [pdf] (Special Issue on Object Recognition Memory in mice and rats)

Baldassi C*, Alemi-Neissi A*, Pagan M*, DiCarlo JJ, Zecchina R & Zoccolan D (2013). Shape similarity, better than semantic membership, accounts for the structure of visual object representations in a population of monkey inferotemporal neurons. PLoS Comput. Biol. 9(8): e1003167 [link] [pdf]

Alemi-Neissi A*, Rosselli BF* & Zoccolan D (2013). Multifeatural shape processing in rats engaged in invariant visual object recognition. J. Neurosci. 33, 5939-5956 [link] [pdf]

DiCarlo JJ, Zoccolan D & Rust NC (2012). How does the brain solve visual object recognition?  Neuron 73, 415-434 [link]

Tafazoli S*, Di Filippo A* & Zoccolan D (2012). Transformation-tolerant object recognition in rats revealed by visual priming. J. Neurosci. 32, 21-34 [link] [pdf] [commentary]

Zoccolan D, Graham JB & Cox DD (2010). A self-calibrating, camera-based eye tracker for the recording of rodent eye movement. Front. Neurosci. 4:193 [link] [pdf]

Zoccolan D*, Oertelt N*, DiCarlo JJ & Cox DD (2009). A rodent model for the study of invariant visual object recognition. Proc. Natl. Acad. Sci. USA 106, 8748-53 [link] [pdf] [Supp Inf]

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]

Zoccolan D, Kouh M, Poggio T & DiCarlo JJ (2007). Trade-off between object selectivity and tolerance in monkey inferotemporal cortex. J. Neurosci. 27, 12292-12307 [link] [pdf] [Supp Inf]

Zoccolan D*, Cox DD* & DiCarlo JJ (2005). Multiple object response normalization in monkey inferotemporal cortex. J. Neurosci. 25, 8150-64 [link] [pdf]