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

Neural Circuits01:25

Neural Circuits

1.1K
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...
1.1K
Direct Motor Pathways01:11

Direct Motor Pathways

1.9K
The direct motor pathways, also known as the pyramidal tracts, are a group of neural pathways that originate in the brain and descend through the spinal cord. They control the voluntary movement of the body. There are two major direct motor pathways: the corticospinal and the corticobulbar tracts.
The corticospinal tract is responsible for the voluntary movement of the limbs and trunk. It originates in the cerebral cortex of the brain and descends through the cerebrum's internal capsule and...
1.9K
Parallel Processing01:20

Parallel Processing

147
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...
147

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

Global Burden of Pediatric Cardiovascular Diseases of Congenital and Non-Congenital Trends from 1992 to 2021.

Communications medicine·2026
Same author

The unbearable slowness of being: Why do we live at 10 bits/s?

Neuron·2024
Same author

Perceptual tri-stability, measured and fitted as emergent from a model for bistable alternations.

Hearing research·2024
Same author

A Fast Algorithm for All-Pairs-Shortest-Paths Suitable for Neural Networks.

Neural computation·2024
Same author

Endotaxis: A neuromorphic algorithm for mapping, goal-learning, navigation, and patrolling.

eLife·2024
Same author

Evolution of neuronal cell classes and types in the vertebrate retina.

Nature·2023

相关实验视频

Updated: Jun 17, 2025

Modeling the Functional Network for Spatial Navigation in the Human Brain
05:55

Modeling the Functional Network for Spatial Navigation in the Human Brain

Published on: October 13, 2023

1.0K

一种适用于神经网络的全对最短路径的快速算法.

Zeyu Jing1, Markus Meister1

  • 1Division of Biology and Biological Engineering California Institute of Technology.

ArXiv
|August 7, 2024
PubMed
概括
此摘要是机器生成的。

在图形中找到最短的路径使用矩阵反转来简化. 这种新的方法为密集图提供了一个计算速度更快的替代方案,并扩展到加权图,为神经网络解决方案铺平了道路.

更多相关视频

Rewiring Neuronal Circuits: A New Method for Fast Neurite Extension and Functional Neuronal Connection
10:26

Rewiring Neuronal Circuits: A New Method for Fast Neurite Extension and Functional Neuronal Connection

Published on: June 13, 2017

8.7K
Closed-loop Neuro-robotic Experiments to Test Computational Properties of Neuronal Networks
11:18

Closed-loop Neuro-robotic Experiments to Test Computational Properties of Neuronal Networks

Published on: March 2, 2015

10.3K

相关实验视频

Last Updated: Jun 17, 2025

Modeling the Functional Network for Spatial Navigation in the Human Brain
05:55

Modeling the Functional Network for Spatial Navigation in the Human Brain

Published on: October 13, 2023

1.0K
Rewiring Neuronal Circuits: A New Method for Fast Neurite Extension and Functional Neuronal Connection
10:26

Rewiring Neuronal Circuits: A New Method for Fast Neurite Extension and Functional Neuronal Connection

Published on: June 13, 2017

8.7K
Closed-loop Neuro-robotic Experiments to Test Computational Properties of Neuronal Networks
11:18

Closed-loop Neuro-robotic Experiments to Test Computational Properties of Neuronal Networks

Published on: March 2, 2015

10.3K

科学领域:

  • 图形理论 图形理论
  • 数字分析 数字分析
  • 计算机科学 计算机科学

背景情况:

  • 最短路径问题是图形理论的一个基本挑战.
  • 现有的算法可能是计算密集的,特别是对于大或密集的图形.

研究的目的:

  • 为计算最短路径距离引入一种新的矩阵反转方法.
  • 分析方法的准确性,效率和适用于各种图形类型的可用性.

主要方法:

  • 使用矩阵反转与修改的相邻矩阵.
  • 导出一个关键参数的图形理论边界.
  • 在各种图形结构上进行数值实验.

主要成果:

  • 最短的路径距离可以通过矩阵倒置准确计算,适合小的参数值.
  • 该方法证明了当地的准确性,即使全球准确性无法实现.
  • 它扩展到加权图,并且在计算上比密集图的替代方案更快.

结论:

  • 矩阵倒置为所有对最短路径问题提供了一种高效和多功能方法.
  • 这种方法自然地与神经网络架构集成,以进一步优化.