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Vision

Vision

Vision is the result of light being detected and transduced into neural signals by the retina of the eye. This information is then further analyzed and interpreted by the brain. First, light enters the front of the eye and is focused by the cornea and lens onto the retina—a thin sheet of neural tissue lining the back of the eye. Because of refraction through the convex lens of the eye, images are projected onto the retina upside-down and reversed.

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Related Experiment Video

Updated: Oct 25, 2025

Development of a Gaze-Contingent Display Framework Designed for Perceptual and Oculomotor Research with Simulated Central Vision Loss

Development of a Gaze-Contingent Display Framework Designed for Perceptual and Oculomotor Research with Simulated Central Vision Loss

Published on: April 11, 2025

Retinal prosthetic vision simulation: temporal aspects.

David Avraham^1,2, Jae-Hyun Jung², Yitzhak Yitzhaky¹

¹Department of Electro-Optical Engineering, School of Electrical and Computer Engineering, Ben-Gurion University of the Negev, Beer Sheva, Israel.

Journal of Neural Engineering

|August 6, 2021

Summary

This summary is machine-generated.

Simulating retinal prostheses vision reveals temporal aspects like phosphene persistence and fading significantly impact perception. These factors, crucial for retinal implant development, can be managed through strategies like head-scanning and image polarity adjustments.

Keywords:

blind perception phosphene prosthesis retina temporal vision

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Area of Science:

Biomedical Engineering
Neuroscience
Ophthalmology

Background:

Understanding perception in individuals with retinal prostheses is limited despite commercialized implants.
Realistic simulations are crucial for advancing retinal prosthetic technology and evaluation.

Purpose of the Study:

To develop and utilize a novel retinal prosthetic vision simulation incorporating previously unaddressed temporal features.
To investigate the impact of temporal aspects like phosphene persistence and perceptual fading on simulated prosthetic vision.

Main Methods:

Implementation of a retinal prosthetic vision simulation model.
Inclusion of temporal dynamics: phosphene persistence, perceptual fading, and electrode activation rate.
Analysis of simulated visual perception under various conditions.

Main Results:

Simulated phosphene persistence reduced flickering at low electrode activation rates but smeared dynamic scenes.
Perceptual fading caused static and dynamic scenes to disappear, but head-scanning motions and persistence could reveal faded static stimuli.
Adjusting image polarity demonstrated potential to enhance simulated vision despite persistence and fading.

Conclusions:

Temporal characteristics significantly influence prosthetic vision, impacting both static and dynamic visual perception.
Strategies such as head-scanning and image polarity manipulation may mitigate negative effects of temporal aspects.
Incorporating temporal dynamics in future retinal prosthesis design, training, and evaluation is essential.