Jove
Visualize
联系我们
JoVE
x logofacebook logolinkedin logoyoutube logo
关于 JoVE
概览领导团队博客JoVE 帮助中心
作者
出版流程编辑委员会范围与政策同行评审常见问题投稿
图书馆员
用户评价订阅访问资源图书馆顾问委员会常见问题
研究
JoVE JournalMethods CollectionsJoVE Encyclopedia of Experiments存档
教育
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab Manual教师资源中心教师网站
使用条款与条件
隐私政策
政策

相关概念视频

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

您也可能阅读

相关文章

通过共同作者、期刊和引用图与本文相关的文章。

排序
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

Mask-guided Asymmetric Contrastive and Semantic Alignment for Unsupervised Person Re-Identification.

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

Hyperbolic Cycle Alignment for Infrared-Visible Image Fusion.

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

Learning Gaze Synthesizer via 3D-eye Controlled Diffusion and Cross-domain Feature Alignment.

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

Underlying Semantic Diffusion for Effective and Efficient In-Context Learning.

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

DiffRES: Unleashing Text-to-Image Diffusion Models for Generative Referring Expression Segmentation without Information Leakage.

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

Location Matters: Frequency-Spatial Dual Space Adaptation for Cross-Domain Few-Shot Segmentation.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2026
查看所有相关文章

相关实验视频

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

一个联合的视觉压缩和感知框架,用于神经形状的尖端摄像机.

Kexiang Feng, Chuanmin Jia, Siwei Ma

    IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
    |July 9, 2025
    PubMed
    概括
    此摘要是机器生成的。

    智能 (SCI) 的 Spike编码压缩了神经形相机数据,优化了位率和任务性能. 这种新的方法提高了基于尖峰的分类准确性,并大大降低了数据复杂性和编码时间.

    更多相关视频

    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

    相关实验视频

    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

    科学领域:

    • 计算机视觉 计算机视觉
    • 神经形态工程的神经形态工程
    • 数据压缩数据压缩

    背景情况:

    • 神经形状的尖峰摄像机提供高时间分辨率,但产生大量数据集.
    • 有效的压缩对于存储,传输和尖端数据的智能应用至关重要.

    研究的目的:

    • 引入智能 (SCI) 的尖端编码,以优化神经形态尖端数据.
    • 提高尖峰序列的压缩效率和特定任务性能.

    主要方法:

    • 提出灵感来自哺乳动物视觉的双通道架构,用于空间和运动处理.
    • 实施一个细化方案,以实现特征和运动向量的一致性.
    • 利用时间回归整合曲折和变形来实现运动动态.

    主要成果:

    • 在尖端压缩和分析中实现了最先进的 (SOTA) 性能.
    • 与SOTA编解码器相比,显示了平均17.25%的BD率降低.
    • 提高了4.3%的基于尖峰的分类准确性,并减少了88.26%的编码复杂性.

    结论:

    • SCI有效地压缩神经形状尖峰数据,同时保持和提高任务性能.
    • 拟议的方法在压缩比,精度和计算效率方面提供了显著的改进.
    • 这项工作为更高效,更智能地处理神经形态成像数据铺平了道路.