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Characterization of Visual Object Representations in Rat Primary Visual Cortex
lib:47754f2682aa21cd (v1.0.0)
Authors: Sebastiano Vascon,Ylenia Parin,Eis Annavini,Mattia D'Andola,Davide Zoccolan,Marcello Pelillo
ArXiv: 1810.01193
Document: PDF DOI
Abstract URL: http://arxiv.org/abs/1810.01193v1
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.
ArXiv: 1810.01193
Document: PDF DOI
Abstract URL: http://arxiv.org/abs/1810.01193v1
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.
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