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

Muscle Stimulation Frequency01:22

Muscle Stimulation Frequency

2.0K
The contraction strength of muscles is regulated by motor neurons, which modulate the frequency of action potentials dispatched to the motor units based on the body's requirements. This process of varying the muscle stimulation frequency allows muscles to contract with a force that is precisely tailored to the needs of the moment, whether lifting a feather or a heavy box.
Wave summation
At low firing rates, motor neurons induce individual twitch contractions in muscle fibers. These twitches...
2.0K

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

Human hippocampal ripples tune cortical responses based on predicted uncertainty.

Nature neuroscience·2026
Same author

Testing and tracking in the UK: A dynamic causal modelling study.

Wellcome open research·2026
Same author

The evolutionary and organizational bases of active affordance.

Cerebral cortex (New York, N.Y. : 1991)·2026
Same author

The methodological foundations of lesion network mapping remain sound.

bioRxiv : the preprint server for biology·2026
Same author

A hybrid micro-ECoG for functionally targeted multi-site and multi-scale investigation.

bioRxiv : the preprint server for biology·2026
Same author

Protocol for investigating the warping of spatial experience across the blind spot to contrast predictions of the Integrated Information Theory and Predictive Processing accounts of consciousness.

PloS one·2026

相关实验视频

Updated: Jun 4, 2025

Optogenetic Entrainment of Hippocampal Theta Oscillations in Behaving Mice
07:33

Optogenetic Entrainment of Hippocampal Theta Oscillations in Behaving Mice

Published on: June 29, 2018

11.7K

对 V1 和 V4 微电路的刺激重复效应解释了玛同步增加.

Christini Katsanevaki1,2, Conrado A Bosman3,4, Karl J Friston5

  • 1Ernst Strüngmann Institute (ESI) for Neuroscience in Cooperation with Max Planck Society, Frankfurt 60528, Germany.

bioRxiv : the preprint server for biology
|December 23, 2024
PubMed
概括

大脑学习通过内部模型加强视觉区域V1和V4的马同步. 动态因果建模揭示了重复效应对内在连接和人口输入驱动这种与学习相关的神经活动.

关键词:
动态因果建模 (DCM) 是一种动态因果建模.玛 玛 玛 是一个学习学习学习学习学习学习塑性的可塑性 塑性预测错误的精度 预测错误的精度灵长类动物的视觉皮层刺激的重复 刺激的重复

更多相关视频

Combined Shuttle-Box Training with Electrophysiological Cortex Recording and Stimulation as a Tool to Study Perception and Learning
08:43

Combined Shuttle-Box Training with Electrophysiological Cortex Recording and Stimulation as a Tool to Study Perception and Learning

Published on: October 22, 2015

10.3K
Generation of Local CA1 γ Oscillations by Tetanic Stimulation
08:02

Generation of Local CA1 γ Oscillations by Tetanic Stimulation

Published on: August 14, 2015

9.1K

相关实验视频

Last Updated: Jun 4, 2025

Optogenetic Entrainment of Hippocampal Theta Oscillations in Behaving Mice
07:33

Optogenetic Entrainment of Hippocampal Theta Oscillations in Behaving Mice

Published on: June 29, 2018

11.7K
Combined Shuttle-Box Training with Electrophysiological Cortex Recording and Stimulation as a Tool to Study Perception and Learning
08:43

Combined Shuttle-Box Training with Electrophysiological Cortex Recording and Stimulation as a Tool to Study Perception and Learning

Published on: October 22, 2015

10.3K
Generation of Local CA1 γ Oscillations by Tetanic Stimulation
08:02

Generation of Local CA1 γ Oscillations by Tetanic Stimulation

Published on: August 14, 2015

9.1K

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:

  • 动物遇到重复的刺激,导致由内部大脑模型捕获的统计学习.
  • 强化灵长类视觉区域V1和V4的马同步是这种学习过程的已知的指标.

研究的目的:

  • 用计算模型来解释学习期间观察到的马同步增加.
  • 确定在视觉皮层中重复诱导的马同步变化背后的特定的神经连接机制.

主要方法:

  • 使用V1-V4动态因果模型 (DCM) 来模拟视觉诱导的反应.
  • 该模型分析了来自重复格子演示的早期和晚期时代的反应.
  • 使用灵敏度分析和模型比较来评估不同连接参数的贡献.

主要成果:

  • DCM成功地复制了局部和区域间马同步的实证增长.
  • 重复效应对V1和V4内部的内在连接以及对人口输入的增长是关键驱动因素.
  • 最佳模型突出显示了V1 (颗粒状,表面) 和V4 (颗粒状,深层) 中激发性群体的影响.

结论:

  • 神经学习通过对内在连接和输入增益的调制来增强马同步,特别是在V1和V4中.
  • 这些发现支持了这样一个假设:马同步反映了与刺激重复和可预测性增加的自下而上的信号精度.