For most animal species, quick and reliable identification of visual objects is critical for survival. This applies also to rodents, which, in recent years, have become increasingly popular models of visual functions. For this reason in this work we analyzed how various properties of visual objects are represented in rat primary visual cortex (V1). The analysis has been carried out through supervised (classification) and unsupervised (clustering) learning methods. We assessed quantitatively the discrimination capabilities of V1 neurons by demonstrating how photometric properties (luminosity and object position in the scene) can be derived directly from the neuronal responses.

Characterization of visual object representations in rat primary visual cortex / Vascon, Sebastiano; Parin, Ylenia; Annavini, Eis; D’Andola, Mattia; Zoccolan, Davide; Pelillo, Marcello. - 11131:(2019), pp. 577-586. ((Intervento presentato al convegno 15th European Conference on Computer Vision, ECCV 2018 tenutosi a Munich nel 2018 [10.1007/978-3-030-11015-4_43].

Characterization of visual object representations in rat primary visual cortex

Annavini, Eis;D’Andola, Mattia;Zoccolan, Davide;
2019

Abstract

For most animal species, quick and reliable identification of visual objects is critical for survival. This applies also to rodents, which, in recent years, have become increasingly popular models of visual functions. For this reason in this work we analyzed how various properties of visual objects are represented in rat primary visual cortex (V1). The analysis has been carried out through supervised (classification) and unsupervised (clustering) learning methods. We assessed quantitatively the discrimination capabilities of V1 neurons by demonstrating how photometric properties (luminosity and object position in the scene) can be derived directly from the neuronal responses.
Computer Vision – ECCV 2018 Workshops
11131
577
586
978-3-030-11014-7
https://link.springer.com/chapter/10.1007/978-3-030-11015-4_43
https://arxiv.org/pdf/1810.01193.pdf
Springer Verlag
Vascon, Sebastiano; Parin, Ylenia; Annavini, Eis; D’Andola, Mattia; Zoccolan, Davide; Pelillo, Marcello
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.11767/87911
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