Characterization of Visual Object Representations in Rat Primary Visual Cortex

Sebastiano Vascon, Ylenia Parin, Eis Annavini, Mattia D'Andola, Davide Zoccolan, Marcello Pelillo

ECCVW 2018 pp. 577-586

doi:10.1007/978-3-030-11015-4_43 /eccvw/2018/vascon2018eccvw-characterization/

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.

PDF ECCVW Semantic Scholar

Cite

Text

Vascon et al. "Characterization of Visual Object Representations in Rat Primary Visual Cortex." European Conference on Computer Vision Workshops, 2018. doi:10.1007/978-3-030-11015-4_43

Markdown

[Vascon et al. "Characterization of Visual Object Representations in Rat Primary Visual Cortex." European Conference on Computer Vision Workshops, 2018.](https://mlanthology.org/eccvw/2018/vascon2018eccvw-characterization/) doi:10.1007/978-3-030-11015-4_43

BibTeX

@inproceedings{vascon2018eccvw-characterization,
  title     = {{Characterization of Visual Object Representations in Rat Primary Visual Cortex}},
  author    = {Vascon, Sebastiano and Parin, Ylenia and Annavini, Eis and D'Andola, Mattia and Zoccolan, Davide and Pelillo, Marcello},
  booktitle = {European Conference on Computer Vision Workshops},
  year      = {2018},
  pages     = {577-586},
  doi       = {10.1007/978-3-030-11015-4_43},
  url       = {https://mlanthology.org/eccvw/2018/vascon2018eccvw-characterization/}
}