Publications


Selected Journal Articles       (* contribute equally)


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]

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]


Selected Abstracts and Proceedings


Tafazoli S, Safaai H, Fiorini M, De Franceschi G & Zoccolan D (2013). Object selectivity and tolerance to variation in object appearance trade off across rat visual cortical areas V1 and TeA. Computational and System Neuroscience (COSYNE) 2013, Salt Lake City, Utah, USA


Pandanaboina SC and Zoccolan D (2012). A functional neuroanatomy study of the role of rat visual and association cortex in processing visual and tactile object information. Society for Neuroscience, Annual Meeting, New Orleans, LA, USA


Alemi-Neissi A, Baldassi C, Braunstein A, Pagnani A, Zecchina R and Zoccolan D (2012). Information theoretic and machine learning approaches to quantify non-linear visual feature interaction underlying visual object recognition. Twenty First Annual Computational Neuroscience Meeting: CNS 2012, Decatur, GA, USA [link] [pdf]


Alemi-Neissi A, Rosselli F & Zoccolan D (2011). Rats’ invariant object recognition relies on tracking salient visual features across object views. Computational and System Neuroscience (COSYNE) 2011, Salt Lake City, Utah, USA


Tafazoli S, Di Filippo A & Zoccolan D (2011). Invariant perception of visual objects in rats revealed by visual priming. Computational and System Neuroscience (COSYNE) 2011, Salt Lake City, Utah, USA


Pagan M, Alemi-Neissi A, Baldassi C, Zecchina R, DiCarlo JJ & Zoccolan D (2011). From luminance to semantics: how natural objects are represented in monkey inferotemporal cortex. Computational and System Neuroscience (COSYNE) 2011, Salt Lake City, Utah, USA


Zoccolan D, Cox DD, Oertelt N, Radwan B, Tsang S & DiCarlo JJ (2008). Can rodents be valuable model systems for studying invariant visual object recognition? Computational and System Neuroscience (COSYNE) 2008, Salt Lake City, Utah, USA [pdf]

Zoccolan D, Kouh M, Poggio T & DiCarlo JJ (2006). Object recognition in clutter: selectivity and invariance properties in monkey inferior temporal cortex. Gordon Research Conference: Sensory coding and the natural environment, Big Sky, MT, USA

Li N, Cox DD, Zoccolan D & DiCarlo JJ (2006). Flexible and robust object recognition in inferior temporal cortex supported by neurons with limited position and clutter tolerance. Society for Neuroscience, 36th Annual Meeting, Atlanta, GA, USA

Zoccolan D, Cox DD & DiCarlo JJ (2005). Multiple object response normalization in monkey inferotemporal cortex. Society for Neuroscience, 35th Annual Meeting, Washington, DC, USA