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Characterization of Visual Object Representations in Rat Primary Visual Cortex

  • Sebastiano VasconEmail author
  • Ylenia Parin
  • Eis Annavini
  • Mattia D’Andola
  • Davide Zoccolan
  • Marcello Pelillo
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 11131)

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.

Keywords

Rat’s visual system Core Object Recognition Objects classification 

Notes

Acknowledgement

This work was supported by a European Research Council Consolidator Grant (DZ, project n. 616803-LEARN2SEE).

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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  1. 1.DAISCa’ Foscari University of VeniceMestreItaly
  2. 2.ECLTCa’ Foscari University of VeniceVeniceItaly
  3. 3.Visual Neuroscience LabInternational School for Advanced Studies (SISSA)TriesteItaly

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