Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Videos

Visual resolution with epi-retinal electrical stimulation estimated from activation profiles in cat visual cortex.

Marcus Wilms1, Marcus Eger, Thomas Schanze

  • 1Institute of Neurophysics, Philipps-University Marburg, 35032 Marburg, Germany. marcus.wilms@physik.uni-marburg.de

Visual Neuroscience
|February 24, 2004
PubMed
Summary

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

IQGAP1 and IQGAP3 are critical host factors for Marburg virus replication, nucleocapsid transport, and cell-to-cell spread.

Cellular and molecular life sciences : CMLS·2026
Same author

RunDAE model: Running denoising autoencoder models for denoising ECG signals.

Computers in biology and medicine·2023
Same author

Multiple ECG segments denoising autoencoder model.

Biomedizinische Technik. Biomedical engineering·2023
Same author

[The G-BA innovation fund's project "Avenue-Pal" - analysis and improvement of cross-sectoral and cross-departmental interface and relocation management in palliative care].

MMW Fortschritte der Medizin·2021
Same author

High speed external cavity diode laser concept based on a resonantly driven MEMS scanner for the mid-infrared region.

Applied optics·2021
Same author

Fractal Characterization of Subviral Particle Motion: On the Influence of Spatio-Temporal Interpolation Methods.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2020

Researchers estimated visual spatial resolution using electrical stimulation in cats, finding a resolution of 1.49 degrees. This research informs the development of visual prostheses for improved object recognition and visuomotor coordination.

Area of Science:

  • Neuroscience
  • Ophthalmology
  • Biomedical Engineering

Background:

  • Individuals with retinal receptor degeneration can perceive phosphenes via electrical stimulation.
  • Assessing visual spatial resolution is crucial for developing effective visual prostheses.
  • Previous methods required extensive testing in human patients.

Purpose of the Study:

  • To develop and validate techniques for estimating visual spatial resolution using electrical stimulation in anesthetized cats.
  • To compare cortical activation profiles from electrical and visual stimuli.
  • To define and characterize electrical receptive fields.

Main Methods:

  • Combined electrical epi-retinal stimulation with microelectrode recordings of local field potentials (LFPs) in cat visual cortex.

Related Experiment Videos

  • Characterized visual receptive fields using multifocal visual stimulation and cross-correlation.
  • Estimated visual spatial resolution from cortical activation profile sizes.
  • Main Results:

    • Cortical activation profiles in response to electrical stimulation were characterized, with an average size of 1.28 mm, corresponding to a visual spatial resolution of 1.49 degrees.
    • Best resolutions of 0.5 degrees were achieved at lower stimulation currents.
    • Higher stimulation currents improved temporal resolution but reduced spatial resolution.

    Conclusions:

    • The developed techniques provide a reliable method for estimating visual spatial resolution in animal models, reducing the need for human testing.
    • The estimated visual resolution suggests that visual prostheses could enable basic visuomotor coordination and object recognition.
    • Electrical receptive fields were defined, offering a new framework for understanding artificial vision.