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

Depth Perception and Spatial Vision01:15

Depth Perception and Spatial Vision

952
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.
952
Visual System01:26

Visual System

700
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...
700
Vision01:24

Vision

55.4K
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.
55.4K
Photoreceptors and Visual Pathways01:22

Photoreceptors and Visual Pathways

6.5K
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,...
6.5K
Perception01:28

Perception

589
Perception is a fundamental psychological process that enables individuals to organize, interpret, and consciously experience sensory information. This process is crucial for understanding and interacting with the world around us. It includes both bottom-up and top-down processing, each playing a distinct role in how we perceive our environment.
Bottom-up processing begins at the sensory level, where receptors detect external environmental stimuli. These could include the tactile sensation of...
589
Neural Circuits01:25

Neural Circuits

1.6K
Neural circuits and neuronal pools are two of the main structures found in the nervous system. Neural circuits are networks of neurons that work together to carry out a specific task or process. They consist of interconnected neurons and glial cells, which provide structural and metabolic support.
Neuronal pools are collections of nerve cells with similar functions and interact through chemical and electrical signals. These pools include both interneurons (the central neural circuit nodes that...
1.6K

You might also read

Related Articles

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

Sort by
Same author

HANeRV: Hierarchically Adaptive Neural Representation for Video Compression.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2026
Same author

RCodSpace: A Robust Learned Coding Method for Deep Space Visual Transmission.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2026
Same author

Antibody-antigen neutralization prediction by integrating structural information distillation and physicochemical constraints.

Briefings in bioinformatics·2026
Same author

Outstanding 1200 °C Oxidation Resistance in a Novel Multi-Principal Element Alloy via Lattice Distortion-Induced Diffusion Suppression.

Advanced science (Weinheim, Baden-Wurttemberg, Germany)·2026
Same author

Post-Processing Geometry Enhancement for G-PCC Compressed LiDAR via Cylindrical Densification.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2026
Same author

Multimodal therapy for primary ureteral small cell neuroendocrine carcinoma with high-grade urothelial component: case report and literature review.

Frontiers in urology·2025
Same journal

Style-Aware Contrastive Test-Time Adaptation: A Dual-Cache Model for Robust Vision-Language Alignment.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2026
Same journal

Semantic Frame Interpolation.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2026
Same journal

Physics-Guided Cross-Modal Decoupling with Test-Time Adaptation for Hyperspectral Image Restoration.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2026
Same journal

Change-Prior-Guided Unsupervised Change Detection of Heterogeneous Remote Sensing Images.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2026
Same journal

AgonicDreamer: Enhancing Multi-View Consistency in Text-to-3D Generation via Rectified Score Distillation.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2026
Same journal

BiCM-Prompt: Bidirectional Cross-Modal Prompt Tuning for Class-Incremental Learning on Multisource Remote Sensing Images.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2026
See all related articles

Related Experiment Video

Updated: Sep 16, 2025

Computational Modeling of Retinal Neurons for Visual Prosthesis Research - Fundamental Approaches
10:50

Computational Modeling of Retinal Neurons for Visual Prosthesis Research - Fundamental Approaches

Published on: June 21, 2022

1.8K

A Joint Visual Compression and Perception Framework for Neuromorphic Spiking Camera.

Kexiang Feng, Chuanmin Jia, Siwei Ma

    IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society
    |July 9, 2025
    PubMed
    Summary
    This summary is machine-generated.

    Spike Coding for Intelligence (SCI) compresses neuromorphic camera data, optimizing bit-rate and task performance. This novel approach enhances spike-based classification accuracy and significantly reduces data complexity and encoding time.

    More Related Videos

    Photodiode-Based Optical Imaging for Recording Network Dynamics with Single-Neuron Resolution in Non-Transgenic Invertebrates
    10:18

    Photodiode-Based Optical Imaging for Recording Network Dynamics with Single-Neuron Resolution in Non-Transgenic Invertebrates

    Published on: July 9, 2020

    3.0K
    Development of a Gaze-Contingent Display Framework Designed for Perceptual and Oculomotor Research with Simulated Central Vision Loss
    07:12

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

    Published on: April 11, 2025

    568

    Related Experiment Videos

    Last Updated: Sep 16, 2025

    Computational Modeling of Retinal Neurons for Visual Prosthesis Research - Fundamental Approaches
    10:50

    Computational Modeling of Retinal Neurons for Visual Prosthesis Research - Fundamental Approaches

    Published on: June 21, 2022

    1.8K
    Photodiode-Based Optical Imaging for Recording Network Dynamics with Single-Neuron Resolution in Non-Transgenic Invertebrates
    10:18

    Photodiode-Based Optical Imaging for Recording Network Dynamics with Single-Neuron Resolution in Non-Transgenic Invertebrates

    Published on: July 9, 2020

    3.0K
    Development of a Gaze-Contingent Display Framework Designed for Perceptual and Oculomotor Research with Simulated Central Vision Loss
    07:12

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

    Published on: April 11, 2025

    568

    Area of Science:

    • Computer Vision
    • Neuromorphic Engineering
    • Data Compression

    Background:

    • Neuromorphic spike cameras offer high temporal resolution but generate large datasets.
    • Efficient compression is crucial for storage, transmission, and intelligent applications of spike data.

    Purpose of the Study:

    • Introduce Spike Coding for Intelligence (SCI) for optimizing neuromorphic spike data.
    • Enhance compression efficiency and task-specific performance for spike sequences.

    Main Methods:

    • Propose a dual-pathway architecture inspired by mammalian vision for spatial and motion processing.
    • Implement a refinement scheme for feature and motion vector consistency.
    • Utilize temporal regression integrating warping and deformation for motion dynamics.

    Main Results:

    • Achieved state-of-the-art (SOTA) performance in spike compression and analysis.
    • Demonstrated an average 17.25% BD-rate reduction compared to SOTA codecs.
    • Improved spike-based classification accuracy by 4.3% and reduced encoding complexity by 88.26%.

    Conclusions:

    • SCI effectively compresses neuromorphic spike data while preserving and enhancing task performance.
    • The proposed methods offer significant improvements in compression ratios, accuracy, and computational efficiency.
    • This work paves the way for more efficient and intelligent processing of neuromorphic imaging data.