A multidisciplinary approach to the study of shape and motion processing and representation in rats

During my PhD I investigated how shape and motion information are processed by the rat visual system, so as to establish how advanced is the representation of higher-order visual information in this species and, ultimately, to understand to what extent rats can present a valuable alternative to monkeys, as experimental models, in vision studies. Specifically, in my thesis work, I have investigated: 1) The possible visual strategies underlying shape recognition. 2) The ability of rat visual cortical areas to represent motion and shape information. My work contemplated two different, but complementary experimental approaches: psychophysical measurements of the rat\u2019s recognition ability and strategy, and in vivo extracellular recordings in anaesthetized animals passively exposed to various (static and moving) visual stimulation. The first approach implied training the rats to an invariant object recognition task, i.e. to tolerate different ranges of transformations in the object\u2019s appearance, and the application of an mage classification technique known as The Bubbles to reveal the visual strategy the animals were able, under different conditions of stimulus discriminability, to adopt in order to perform the task. The second approach involved electrophysiological exploration of different visual areas in the rat\u2019s cortex, in order to investigate putative functional hierarchies (or streams of processing) in the computation of motion and shape information. Results show, on one hand, that rats are able, under conditions of highly stimulus discriminability, to adopt a shape-based, view-invariant, multi-featural recognition strategy; on the other hand, the functional properties of neurons recorded from different visual areas suggest the presence of a putative shape-based, ventral-like stream of processing in the rat\u2019s visual cortex. The general purpose of my work is and has been the unveiling the neural mechanisms that make object recognition happen, with the goal of eventually 1) be able to relate my findings on rats to those on more visually-advanced species, such as human and non-human primates; and 2) collect enough biological data to support the artificial simulation of visual recognition processes, which still presents an important scientific challenge

Data from: Emergence of transformation-tolerant representations of visual objects in rat lateral extrastriate cortex

Rodents are emerging as increasingly popular models of visual functions. Yet, evidence that rodent visual cortex is capable of advanced visual processing, such as object recognition, is limited. Here we investigate how neurons located along the progression of extrastriate areas that, in the rat brain, run laterally to primary visual cortex, encode object information. We found a progressive functional specialization of neural responses along these areas, with: (1) a sharp reduction of the amount of low-level, energy-related visual information encoded by neuronal firing; and (2) a substantial increase in the ability of both single neurons and neuronal populations to support discrimination of visual objects under identity-preserving transformations (e.g., position and size changes). These findings strongly argue for the existence of a rat object-processing pathway, and point to the rodents as promising models to dissect the neuronal circuitry underlying transformation-tolerant recognition of visual objects

Source data file for the article authored by Tafazoli and colleagues on invariant object representations in rat visual cortex

This data file provides the full data set processed in the article “Emergence of transformation-tolerant representations of visual objects in rat lateral extrastriate cortex” by Sina Tafazoli, Houman Safaai, Gioia De Franceschi, Federica Bianca Rosselli, Walter Vanzella, Margherita Riggi, Federica Buffolo, Stefano Panzeri and Davide Zoccolan. A detailed description of the file is provided in the companion "Readme.pdf" file