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

Predicting Molecular Geometry02:27

Predicting Molecular Geometry

34.5K
VSEPR Theory for Determination of Electron Pair Geometries
34.5K
Neural Circuits01:25

Neural Circuits

1.3K
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...
1.3K
Neuron Structure01:30

Neuron Structure

13.1K
Neurons are the main type of cell in the nervous system that generate and transmit electrochemical signals. They primarily communicate with each other using neurotransmitters at specific junctions called synapses. Neurons come in many shapes that often relate to their function, but most share three main structures: an axon and dendrites that extend out from a cell body.
Structure and Function of Neurons
The neuronal cell body—the soma— houses the nucleus and organelles vital to...
13.1K

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

Stability through plasticity: Finding robust memories through representational drift.

Proceedings of the National Academy of Sciences of the United States of America·2025
Same author

Leg compliance is required to explain the ground reaction force patterns and speed ranges in different gaits.

Royal Society open science·2025
Same author

Passive muscle forces in <i>Drosophila</i> are large but insufficient to support a fly's weight.

bioRxiv : the preprint server for biology·2025
Same author

Learning produces an orthogonalized state machine in the hippocampus.

Nature·2025
Same author

Leg compliance is required to explain the ground reaction force patterns and speed ranges in different gaits.

bioRxiv : the preprint server for biology·2024
Same author

Organizing memories for generalization in complementary learning systems.

Nature neuroscience·2023
Same journal

Phylogenetic corrections and higher-order sequence statistics in protein families: Potts vs multiple sequence alignment transformer machine learning models.

Physical review research·2026
Same journal

Spin scattering and noncollinear spin structure-induced intrinsic anomalous Hall effect in antiferromagnetic topological insulator MnBi<sub>2</sub>Te<sub>4</sub>.

Physical review research·2026
Same journal

Element-wise and Recursive Solutions for the Power Spectral Density of Biological Stochastic Dynamical Systems at Fixed Points.

Physical review research·2026
Same journal

Time heterogeneity of the Förster radius from dipole orientational dynamics impacts single-molecule Förster resonance energy transfer experiments.

Physical review research·2026
Same journal

Optimizing information transmission in optogenetic Wnt signaling.

Physical review research·2026
Same journal

Mechanical plasticity of cell membranes enhances epithelial wound closure.

Physical review research·2025
查看所有相关文章

相关实验视频

Updated: Jul 18, 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

1.1K

在神经网络中,从功能中预测结构的几何框架.

Tirthabir Biswas1,2, James E Fitzgerald1

  • 1Janelia Research Campus, Howard Hughes Medical Institute, Ashburn, Virginia 20147, USA.

Physical review research
|August 28, 2023
PubMed
概括
此摘要是机器生成的。

本研究引入了一个几何框架,以确定神经网络中必不可少的突触连接. 它揭示了网络结构如何决定功能,并从神经活动数据中预测了解剖连接.

更多相关视频

A Protocol for Computer-Based Protein Structure and Function Prediction
16:41

A Protocol for Computer-Based Protein Structure and Function Prediction

Published on: November 3, 2011

68.7K
Author Spotlight: Advancing Alzheimer's Research &#8211; Exploring Early Detection and Multi-Omics Approaches
09:47

Author Spotlight: Advancing Alzheimer's Research – Exploring Early Detection and Multi-Omics Approaches

Published on: December 15, 2023

1.1K

相关实验视频

Last Updated: Jul 18, 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

1.1K
A Protocol for Computer-Based Protein Structure and Function Prediction
16:41

A Protocol for Computer-Based Protein Structure and Function Prediction

Published on: November 3, 2011

68.7K
Author Spotlight: Advancing Alzheimer's Research &#8211; Exploring Early Detection and Multi-Omics Approaches
09:47

Author Spotlight: Advancing Alzheimer's Research – Exploring Early Detection and Multi-Omics Approaches

Published on: December 15, 2023

1.1K

科学领域:

  • 计算神经科学是一种计算神经科学.
  • 人工智能的人工智能是人工智能.
  • 网络科学 网络科学

背景情况:

  • 神经计算涉及输入的非线性总和,突触连接是网络功能的关键.
  • 神经网络结构和功能之间的关系是复杂的,并未完全理解.
  • 对于特定的网络计算,是否需要特定的突触模式在很大程度上是未知的.

研究的目的:

  • 开发一个几何框架,用于识别在循环神经网络中必不可少的突触连接.
  • 通过分析来确定产生特定稳定状态响应的连接矩阵.
  • 探索噪音和错误如何影响网络结构-功能关系.

主要方法:

  • 介绍一个几何框架来分析值线性神经元的反复网络.
  • 分析计算特定网络响应的连接矩阵的解决方案空间.
  • 概括框架以考虑噪声和分析拓过渡.

主要成果:

  • 该研究提供了一种方法来识别特定网络响应所需的突触连接.
  • 它分析地描述了连接矩阵的解决空间.
  • 噪声分析揭示了解决方案空间几何中的拓过渡.
  • 为非零突触推导出确定性条件.

结论:

  • 几何框架提供了一种方法来将神经网络结构与功能联系起来.
  • 它可以从神经活动数据中进行严格的解剖学预测.
  • 这些发现对神经科学和机器学习都有影响.