Journal of Vision Cover Image for Volume 25, Issue 5
April 2025
Volume 25, Issue 5
Open Access
Optica Fall Vision Meeting Abstract  |   April 2025
Contributed Talks I: Recruiting native visual representations in visual cortex for electrode array based vision restoration
Author Affiliations
  • Karolína Korvasová
    Computational Systems Neuroscience Group, Faculty of Mathematics and Physics, Charles University, Prague, Czech Republic
  • Fabrizio Grani
    Biomedical Neuroengineering Group, Miguel Hernandez University, Spain
  • Matěj Voldřich
    Computational Systems Neuroscience Group, Faculty of Mathematics and Physics, Charles University, Prague, Czech Republic
  • Rocío López Peco
    Biomedical Neuroengineering Group, Miguel Hernandez University, Spain
  • David Berling
    Computational Systems Neuroscience Group, Faculty of Mathematics and Physics, Charles University, Prague, Czech Republic
  • Mikel Val Calvo
    Biomedical Neuroengineering Group, Miguel Hernandez University, Spain
  • Alfonso Rodil Doblado
    Biomedical Neuroengineering Group, Miguel Hernandez University, Spain
  • Tibor Rózsa
    Computational Systems Neuroscience Group, Faculty of Mathematics and Physics, Charles University, Prague, Czech Republic
  • Cristina Soto Sánchez
    Biomedical Neuroengineering Group, Miguel Hernandez University, Spain
  • Xing Chen
    Department of Ophthalmology, University of Pittsburgh School of Medicine, 203 Lothrop St, PA 15213, Pittsburgh, USA
  • Eduardo Fernandez
    Biomedical Neuroengineering Group, Miguel Hernandez University, Spain
  • Ján Antolík
    Computational Systems Neuroscience Group, Faculty of Mathematics and Physics, Charles University, Prague
Journal of Vision April 2025, Vol.25, 10. doi:https://doi.org/10.1167/jov.25.5.10
  • Views
  • Share
  • Tools
    • Alerts
      ×
      This feature is available to authenticated users only.
      Sign In or Create an Account ×
    • Get Citation

      Karolína Korvasová, Fabrizio Grani, Matěj Voldřich, Rocío López Peco, David Berling, Mikel Val Calvo, Alfonso Rodil Doblado, Tibor Rózsa, Cristina Soto Sánchez, Xing Chen, Eduardo Fernandez, Ján Antolík; Contributed Talks I: Recruiting native visual representations in visual cortex for electrode array based vision restoration. Journal of Vision 2025;25(5):10. https://doi.org/10.1167/jov.25.5.10.

      Download citation file:


      © ARVO (1962-2015); The Authors (2016-present)

      ×
  • Supplements
Abstract

The possibility to recruit native functional representations, such as orientation preference, by external stimulation in the visual cortex could greatly advance the field of visual prosthetics. However, in blind humans functional properties of neurons cannot be tested directly by measuring neural responses to visual input. A possible solution is based on the idea that functionally similar neurons tend to be more correlated also in the resting condition. Here we present a method to infer the orientation preference map from spontaneous activity recorded with a Utah array from the primary visual cortex of non-human primates. We validated this methods first in a detailed model of primary visual cortex, and subsequently on Utah array recordings from macaque V1. Finally, we applied this method to recordings from blind human volunteers implanted with a cortical visual prosthesis and found that both spatial and functional properties of the set of stimulated electrodes affect perception. Particularly, discrimination between two stimuli becomes easier the more spatially and functionally separated the two sets of stimulated sites are, demonstrating the functional relevance of the decoded visual representations on electrically evoked human perception.

Footnotes
 Funding: This work was supported through institutional funding from Charles University (project PRIMUS/20/MED/006) and through ERDF-Project Brain dynamics (CZ.02.01.01/00/22_008/0004643).
×
×

This PDF is available to Subscribers Only

Sign in or purchase a subscription to access this content. ×

You must be signed into an individual account to use this feature.

×