Characterization of Visual Object Representations in Rat Primary Visual\n Cortex

2018/10/02 by Sebastiano Vascon, Ylenia Parin, Vascon, Sebastiano +9
Computer Science · Neuroscience · #Computational Drug Discovery Methods #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Neural dynamics and brain function #Neurobiology and Insect Physiology Research

paper · pdf · doi:10.48550/arxiv.1810.01193

openalex publication_date 2018/10/02 · openalex created_date 2022/08/02 · openalex updated_date 2026/07/28

Abstract

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

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