Search research articles

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 Journal Methods Collections JoVE Encyclopedia of Experiments 存档

教育

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual 教师资源中心教师网站

使用条款与条件

相关概念视频

Parallel Processing

Parallel Processing

The brain processes sensory information rapidly due to parallel processing, which involves sending data across multiple neural pathways at the same time. This method allows the brain to manage various sensory qualities, such as shapes, colors, movements, and locations, all concurrently. For instance, when observing a forest landscape, the brain simultaneously processes the movement of leaves, the shapes of trees, the depth between them, and the various shades of green. This enables a quick and...

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

Activating Phase-Transition Toughening in van der Waals Semiconductor GaTe.

Nano letters·2026

Same author

Differential Image Sensor With Decoupled Static and Dynamic Outputs.

Advanced materials (Deerfield Beach, Fla.)·2026

Same author

Gradient-distributed metal-halide dynamic memristors for adaptive and robust voiceprint recognition.

Nature communications·2026

Same author

Resolving intrinsic dislocation structure in perovskite crystals using pulsed electron beam with atomic resolution.

Nature communications·2026

Same author

Curvature-programmed nitrate electroreduction via single-atom protrusions on quantum dots.

Science advances·2026

Same author

Nanofluid-Assisted Synthesis of High-Entropy Alloy Nanoparticles.

Journal of the American Chemical Society·2026

Search research articles

相关实验视频

Updated: Sep 14, 2025

Bidirectional Electrical and Optoelectronic Interfaces in Healthy and Ischemic Ex Vivo Rat Hearts

Bidirectional Electrical and Optoelectronic Interfaces in Healthy and Ischemic Ex Vivo Rat Hearts

Published on: July 18, 2025

对于新兴的神经形态视觉的二维材料:从设备到传感器内计算

Pengshan Xie¹, Dengji Li¹, Weijun Wang¹

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

Small (Weinheim an der Bergstrasse, Germany)

|July 24, 2025

概括

两维 (2D) 材料通过启用传感器内计算,为节能边缘视觉处理提供解决方案. 这种方法克服了智能视觉系统传统架构的局限性.

关键词:

这是一个二维半导体半导体.人工突触是一种人造突触.神经形态计算是一种神经形态计算.光电子设备是一种光电子设备.

更多相关视频

Fabrication of Flexible Image Sensor Based on Lateral NIPIN Phototransistors

Fabrication of Flexible Image Sensor Based on Lateral NIPIN Phototransistors

Published on: June 23, 2018

Optical Control of Living Cells Electrical Activity by Conjugated Polymers

Optical Control of Living Cells Electrical Activity by Conjugated Polymers

Published on: January 28, 2016

相关实验视频

Last Updated: Sep 14, 2025

Bidirectional Electrical and Optoelectronic Interfaces in Healthy and Ischemic Ex Vivo Rat Hearts

Bidirectional Electrical and Optoelectronic Interfaces in Healthy and Ischemic Ex Vivo Rat Hearts

Published on: July 18, 2025

Fabrication of Flexible Image Sensor Based on Lateral NIPIN Phototransistors

Fabrication of Flexible Image Sensor Based on Lateral NIPIN Phototransistors

Published on: June 23, 2018

Optical Control of Living Cells Electrical Activity by Conjugated Polymers

Optical Control of Living Cells Electrical Activity by Conjugated Polymers

Published on: January 28, 2016

科学领域:

材料科学材料科学材料科学
神经形态工程的神经形态工程
计算机架构计算机架构

背景情况:

由于数据传输瓶,·诺伊曼架构在边缘视觉应用程序的能源效率和实时处理方面扎.
二维 (2D) 材料提供原子尺寸厚度,可调节的光电子和集成灵活性,使它们适合传感器内计算.
目前的材料系统包括铁电二维材料,拓绝缘体和双电子系统,用于增强感知,计算和存储.

研究的目的:

为传感器内计算提供2D材料系统进步的全面概述.
探索这些二维材料的操作机制和视觉感知功能.
检查深度学习架构与智能视觉的2D材料系统的集成.

主要方法:

关于用于神经形态视觉的二维材料系统的最新文献的综述.
操作机制的分析,包括偏振传感和光谱选择.
调查设备集成策略和深度学习算法兼容性的研究.

主要成果:

2D材料在单一设备中实现了高效的感知,计算和存储,克服了·诺伊曼瓶.
特定的2D材料系统显示出对偏振传感和光谱选择的能力.
正在制定整合策略,以将深度学习与基于二维材料的视觉神经突触设备合并.

结论:

2D材料是对边缘应用中节能,实时视觉处理的有希望的解决方案.
将材料创新与神经形态工程结合起来,可以带来智能视觉系统.
使用二维材料的传感器内计算克服了传统计算机架构的局限性.