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 Concept Videos

Vision01:24

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.
Depth Perception and Spatial Vision01:15

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.
Photoreceptors and Visual Pathways01:22

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, whereas...
The Retina01:32

The Retina

The retina is a layer of nervous tissue at the back of the eye that transduces light into neural signals. This process, called phototransduction, is carried out by rod and cone photoreceptor cells in the back of the retina.
Light Acquisition02:16

Light Acquisition

In order to produce glucose, plants need to capture sufficient light energy. Many modern plants have evolved leaves specialized for light acquisition. Leaves can be only millimeters in width or tens of meters wide, depending on the environment. Due to competition for sunlight, evolution has driven the evolution of increasingly larger leaves and taller plants, to avoid shading by their neighbors with contaminant elaboration of root architecture and mechanisms to transport water and nutrients.
Visual System01:26

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...

You might also read

Related Articles

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

Sort by
Same author

Optical adder that uses spatial light rebroadcasters.

Applied optics·2010
Same author

Spatial light rebroadcaster bit-slice word-addressable holographic memory.

Applied optics·2010
Same author

Optical heteroassociative memory using spatial light rebroadcasters.

Applied optics·2010
Same author

Real-time optical expert systems.

Applied optics·2010
Same author

Joint transform optical correlator designed and analyzed by use of two- and one-dimensional hilbert transforms.

Applied optics·2008
Same author

Hilbert transform and mirror-image optical correlators.

Applied optics·2008
Same journal

Multifunctional reconfigurable terahertz metasurface based on vanadium dioxide phase transition: achieving broadband absorption and efficient polarization conversion.

Applied optics·2026
Same journal

High-Q-factor electromagnetically induced transparency utilizing quasi-bound states in the continuum in an all-dielectric terahertz metasurface.

Applied optics·2026
Same journal

Automated stitching interferometry for high-precision metrology of X-ray mirrors.

Applied optics·2026
Same journal

Experimental demonstration of an approach to designing a metal-dielectric DBR resonant cavity structure.

Applied optics·2026
Same journal

High-precision wavefront reconstruction from a single-shot interferogram using a physics-driven hybrid feature calibration network.

Applied optics·2026
Same journal

Ultra-high-Q Fano resonance based on coupled topological corner states in Kagome photonic crystals.

Applied optics·2026
See all related articles

Related Experiment Video

Updated: Jun 9, 2026

A Gaze-Contingent Display Framework for Perceptual Learning Research with Simulated Central Vision Loss
07:12

A Gaze-Contingent Display Framework for Perceptual Learning Research with Simulated Central Vision Loss

Published on: April 11, 2025

Optical perceptron learning for binary classification with spatial light rebroadcasters.

A D McAulay, J Wang, X Xu

    Applied Optics
    |September 8, 2010
    PubMed
    Summary
    This summary is machine-generated.

    This study introduces a modified perceptron algorithm for binary image classification using a spatial light rebroadcaster. The algorithm efficiently learns using only positive weights, demonstrating robust character recognition with enhanced discrimination using complementary patterns.

    Related Experiment Videos

    Last Updated: Jun 9, 2026

    A Gaze-Contingent Display Framework for Perceptual Learning Research with Simulated Central Vision Loss
    07:12

    A Gaze-Contingent Display Framework for Perceptual Learning Research with Simulated Central Vision Loss

    Published on: April 11, 2025

    Area of Science:

    • Computer Vision
    • Optical Computing
    • Machine Learning

    Background:

    • Binary classification of 2D images is crucial in pattern recognition.
    • Spatial light rebroadcasters offer unique advantages for optical learning systems.
    • Traditional perceptron algorithms may require non-positive weights, limiting optical implementation.

    Purpose of the Study:

    • To develop and evaluate a modified perceptron algorithm for binary image classification.
    • To leverage the capabilities of spatial light rebroadcasters for efficient weight storage and adjustment.
    • To demonstrate the algorithm's convergence and robustness using optical experiments.

    Main Methods:

    • A modified perceptron learning algorithm requiring only positive weights was developed.
    • The algorithm was implemented using a spatial light rebroadcaster for weight storage.
    • Optical experiments were conducted for classifying 2D characters and their complements.

    Main Results:

    • The modified perceptron algorithm demonstrated convergence in a finite number of steps for linearly separable classes.
    • Robust classification of four characters was achieved, with alternative groupings showing resilience.
    • Combining results from original and complementary patterns yielded superior discrimination.

    Conclusions:

    • The modified perceptron algorithm is effective for binary image classification with spatial light rebroadcasters.
    • The use of positive weights aligns well with optical intensity constraints.
    • Employing complementary patterns enhances classification accuracy and robustness.