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Related Concept Videos

Visual System

Visual System

Light enters the eye through the cornea, a transparent, dome-shaped surface covering the surface of the eyeball that helps to direct and focus incoming light. This light is then channeled toward the pupil, an adjustable opening whose size is controlled by the iris. The iris, a pigmented muscle, regulates the amount of light entering the eye by contracting or dilating the pupil, thereby ensuring optimal light levels for clear vision.
Once through the pupil, the light passes through the lens, a...

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.

Photoreceptors and Visual Pathways

Photoreceptors and Visual Pathways

At the molecular level, visual signals trigger transformations in photopigment molecules, resulting in changes in the photoreceptor cell's membrane potential. The photon's energy level is denoted by its wavelength, with each specific wavelength of visible light associated with a distinct color. The spectral range of visible light, classified as electromagnetic radiation, spans from 380 to 720 nm. Electromagnetic radiation wavelengths exceeding 720 nm fall under the infrared category,...

Depth Perception and Spatial Vision

Depth Perception and Spatial Vision

Depth perception is the ability to perceive objects three-dimensionally. It relies on two types of cues: binocular and monocular. Binocular cues depend on the combination of images from both eyes and how the eyes work together. Since the eyes are in slightly different positions, each eye captures a slightly different image. This disparity between images, known as binocular disparity, helps the brain interpret depth. When the brain compares these images, it determines the distance to an object.

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Related Experiment Video

Updated: Feb 26, 2026

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

Flicker-Suppressed Neuromorphic Unit for Dynamic Vision Processing.

Pengshan Xie¹, Shuhui Shi², Lei Ran³

¹Department of Materials Science and Engineering, City University of Hong Kong, Kowloon 999077, Hong Kong SAR.

|February 25, 2026

Summary

This summary is machine-generated.

Researchers developed a novel neuromorphic device inspired by insect vision for faster collision warnings. This artificial neuron system achieves high-frequency signal detection and trajectory recognition, advancing autonomous systems.

Keywords:

channel stress dynamic vision processing flicker-suppressed heterojunction reservoir computing ultrafast stimulation

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Last Updated: Feb 26, 2026

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Published on: June 13, 2019

Area of Science:

Neuroscience
Materials Science
Computer Engineering

Background:

Neuromorphic devices mimic insect vision for autonomous systems.
Current limitations include low sensing frequency, signal-to-noise ratio, and flicker noise.

Purpose of the Study:

To overcome limitations in neuromorphic devices for enhanced visual perception.
To develop artificial neurons capable of high-frequency signal processing and noise reduction.

Main Methods:

Utilized a homojunction and heterojunction design to emulate nerve signal transmission.
Integrated leaky integrate-and-fire neural and synaptic devices.
Employed in-sensor reservoir computing for trajectory recognition.

Main Results:

Achieved an information transmission rate of 2100 bits s^-1 with high-frequency visible-light signals.
Successfully generated action potentials and postsynaptic potential responses.
Reduced cumulative threshold flicker noise and recognized car trajectories across four orientations.

Conclusions:

The novel device design overcomes key limitations in neuromorphic visual sensing.
Demonstrated potential for advanced collision warning systems and visual bionics applications.
Provides insights for future artificial neuron and bionic system development.