Jove
Visualize
联系我们

相关概念视频

Average Velocity01:12

Average Velocity

To calculate the other physical quantities in kinematics, we must introduce the time variable. The time variable allows us not only to state the position of the object during its motion, but also how fast it is moving. The speed at which an object is moving is given by the rate at which the position changes with time. For each position xi, we assign a particular time ti. If the details of the motion at each instant are not important, the rate is usually expressed as the average velocity. This...
Impact: Problem Solving01:26

Impact: Problem Solving

In an experiment conducted during a Mars mission, a rover propels a projectile with an initial velocity, and the projectile rebounds after colliding with the Martian surface. To ascertain the maximum height attained by the projectile after this collision, the known restitution coefficient and acceleration due to gravity are employed.
By designating the launch point as the origin and utilizing kinematic equations, the vertical component of the projectile's velocity at the point of impact is...
Relative Motion Analysis - Velocity01:24

Relative Motion Analysis - Velocity

A stroke engine has a slider-crank mechanism that converts rotational motion from the crank into linear motion of the slider or vice versa. This mechanism consists of three main parts: the crank, the connecting rod, and the slider.
When an external force is exerted, it sets the crank into a rotational movement. This, in turn, instigates the motion of the connecting rod, leading to what is referred to as a general plane motion. This process involves two key points - point A on the connecting rod...

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

A mean-field model of neural networks with PV and SOM interneurons reveals connectivity-based mechanisms of gamma oscillations.

PLoS computational biology·2026
Same author

Broadband synergy versus oscillatory redundancy in the visual cortex.

Nature communications·2026
Same author

Power Pixels: a turnkey pipeline for processing of Neuropixel recordings.

Peer community journal·2026
Same author

Inhibitory Feedback Enables Predictive Learning of Multiple Sequences in Neural Networks.

Neural computation·2026
Same author

Feature-specific predictive processing: What's in a prediction error?

Imaging neuroscience (Cambridge, Mass.)·2025
Same author

Broadband synergy versus oscillatory redundancy in the visual cortex.

bioRxiv : the preprint server for biology·2025
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

相关实验视频

Updated: Jul 9, 2026

Stimulus-specific Cortical Visual Evoked Potential Morphological Patterns
09:42

Stimulus-specific Cortical Visual Evoked Potential Morphological Patterns

Published on: May 12, 2019

5.9K

视觉皮层中的射击速率显示出代表性漂移,而时间尖峰序列保持稳定.

Boris Sotomayor-Gómez1, Francesco P Battaglia2, Martin Vinck1

  • 1Ernst Strüngmann Institute (ESI) for Neuroscience in Cooperation with Max Planck Society, Frankfurt, Germany; Donders Centre for Neuroscience, Department of Neurophysics, Radboud University Nijmegen, Nijmegen, the Netherlands.

Cell reports
|April 9, 2025
PubMed
概括

神经元组合使用尖峰时间,而不仅仅是射击速度,以获得稳定的感官编码. 神经元之间的相对尖峰时间提供了一个强大的机制,用于大脑的信息处理.

关键词:
科普:神经科学是什么意思代表性的漂移是代表性的漂移.尖的序列是指尖的序列时间编码时间编码.

更多相关视频

A Method for Tracking the Time Evolution of Steady-State Evoked Potentials
12:03

A Method for Tracking the Time Evolution of Steady-State Evoked Potentials

Published on: May 25, 2019

8.4K
The DREAM Implant: A Lightweight, Modular, and Cost-Effective Implant System for Chronic Electrophysiology in Head-Fixed and Freely Behaving Mice
08:42

The DREAM Implant: A Lightweight, Modular, and Cost-Effective Implant System for Chronic Electrophysiology in Head-Fixed and Freely Behaving Mice

Published on: July 26, 2024

877

相关实验视频

Last Updated: Jul 9, 2026

Stimulus-specific Cortical Visual Evoked Potential Morphological Patterns
09:42

Stimulus-specific Cortical Visual Evoked Potential Morphological Patterns

Published on: May 12, 2019

5.9K
A Method for Tracking the Time Evolution of Steady-State Evoked Potentials
12:03

A Method for Tracking the Time Evolution of Steady-State Evoked Potentials

Published on: May 25, 2019

8.4K
The DREAM Implant: A Lightweight, Modular, and Cost-Effective Implant System for Chronic Electrophysiology in Head-Fixed and Freely Behaving Mice
08:42

The DREAM Implant: A Lightweight, Modular, and Cost-Effective Implant System for Chronic Electrophysiology in Head-Fixed and Freely Behaving Mice

Published on: July 26, 2024

877

科学领域:

  • 神经科学是一个神经科学.
  • 计算神经科学是一种神经科学.
  • 系统神经科学 系统神经科学

背景情况:

  • 神经对刺激的反应随着时间的推移而变化,这给稳定的大脑编码带来了挑战.
  • 现有的模型往往侧重于发射速度,可能会忽视其他神经编码机制.

研究的目的:

  • 为了研究尖端定时代码是否比发射率代码提供更稳定的神经表征.
  • 在视觉皮层区域比较尖峰率与尖峰时间代码的信息内容和稳定性.

主要方法:

  • 利用基于最佳传输理论的新方法SpikeShip,以分析多神经元尖峰序列中的信息.
  • 记录了来自六个视觉区域的神经合奏活动,以应对自然视频刺激.
  • 由人口发射率向量和相对峰值时间模式传递的量化信息.

主要成果:

  • 时间尖峰序列在大型神经元组中传递的信息比人口发射率向量更多.
  • 射击速率代码在刺激重复和实验区块之间显示出显著的漂移.
  • 尖端定时代码表现出了随着时间的推移而显著的稳定性,与火速表示不同.

结论:

  • 神经元之间的相对尖峰定时关系形成了一个稳定的神经代码来传递感官信息.
  • 这种尖端定时代码为神经信息处理提供了一个强大的机制,克服了发射速率代码的不稳定性.
  • 这些发现突显了高维神经元组合中时间动态对于稳定的大脑功能的重要性.