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

Synaptic Signaling01:12

Synaptic Signaling

79.0K
Neurons communicate at synapses, or junctions, to excite or inhibit the activity of other neurons or target cells, such as muscles. Synapses may be chemical or electrical.
79.0K
Synaptic Signaling01:09

Synaptic Signaling

6.5K
Neurons communicate at synapses, or junctions, to excite or inhibit the activity of other neurons or target cells, such as muscles. Synapses may be chemical or electrical.
Most synapses are chemical, meaning an electrical impulse or action potential spurs the release of chemical messengers called neurotransmitters. The neuron sending the signal is called the presynaptic neuron, and the neuron receiving the signal is the postsynaptic neuron.
The presynaptic neuron fires an action potential that...
6.5K
Proofreading01:43

Proofreading

59.6K
Overview
59.6K
Proofreading01:31

Proofreading

8.6K
Synthesis of new DNA molecules is carried out by the enzyme DNA polymerase, which adds nucleotides on the daughter strand complementary to the template DNA strand. DNA polymerase has a higher affinity to add the correct base and ensures fidelity during DNA replication. Furthermore,  it exhibits proofreading activity during replication, using an exonuclease domain that cuts off incorrect nucleotides from the nascent DNA strand.
Errors During Replication are Corrected by the DNA Polymerase...
8.6K
Overview of Synapses01:25

Overview of Synapses

4.7K
A synapse is a specialized structure where two neurons connect, allowing them to pass an electrical or chemical signal to another neuron. It is the point of communication between neurons. The term "synapse" is derived from the Greek word "synapsis," which means "conjunction." The entire process of neural communication revolves around the synapse. When activated, a neuron releases chemicals known as neurotransmitters into the synapse. These neurotransmitters cross the synapse and bind to...
4.7K
The Synapse02:47

The Synapse

132.4K
Neurons communicate with one another by passing on their electrical signals to other neurons. A synapse is the location where two neurons meet to exchange signals. At the synapse, the neuron that sends the signal is called the presynaptic cell, while the neuron that receives the message is called the postsynaptic cell. Note that most neurons can be both presynaptic and postsynaptic, as they both transmit and receive information.
132.4K

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

Simultaneous brain-wide single-cell recording resolves spatiotemporal memory architecture.

bioRxiv : the preprint server for biology·2026
Same author

VesiclePy: A machine learning vesicle analysis toolbox for volume electron microscopy.

PLoS computational biology·2026
Same author

NucleoNet and DropNet: Generalist deep learning models for instance segmentation of nuclei and lipid droplets from electron microscopy images.

bioRxiv : the preprint server for biology·2026
Same author

A machine learning approach to using ultrasound for body composition and nutritional status assessment in newborns: a pilot study protocol.

Pilot and feasibility studies·2026
Same author

MitoEM 2.0: A Benchmark for Challenging 3D Mitochondria Instance Segmentation from EM Images.

bioRxiv : the preprint server for biology·2026
Same author

Clocks and Dominoes: Timing Mechanisms of Embryogenesis.

bioRxiv : the preprint server for biology·2026
Same journal

FGO-SLAM++: Real-time Geometry-Aware Gaussian SLAM with Continuous Opacity Field.

IEEE transactions on visualization and computer graphics·2026
Same journal

Blue Noise Dithering for Reservoir-based Spatio-temporal Importance Resampling.

IEEE transactions on visualization and computer graphics·2026
Same journal

ROS-GS: Relightable Outdoor Scenes With Gaussian Splatting.

IEEE transactions on visualization and computer graphics·2026
Same journal

MesoSplats: Texture Synthesis with Gaussian Splatting.

IEEE transactions on visualization and computer graphics·2026
Same journal

GLLA: A Unified Force-Directed Graph Layout Framework Supporting Local Adjustments.

IEEE transactions on visualization and computer graphics·2026
Same journal

Multi-Perception Crowd: Learning to combine entity and implicit perception for diverse crowd simulation.

IEEE transactions on visualization and computer graphics·2026
查看所有相关文章

相关实验视频

Updated: Jan 8, 2026

Author Spotlight: Exploring Glial Influence in Experience-Dependent Synaptic Pruning During Critical Periods
07:13

Author Spotlight: Exploring Glial Influence in Experience-Dependent Synaptic Pruning During Critical Periods

Published on: March 1, 2024

1.0K

SynAnno:交互指导校对突触注释的交互指导校对

Leander Lauenburg, Jakob Troidl, Adam Gohain

    IEEE transactions on visualization and computer graphics
    |December 15, 2025
    PubMed
    概括
    此摘要是机器生成的。

    SynAnno简化了连接学中的突触注释校对. 这个工具通过减少神经科学家的错误和认知负载来加速神经连接图的重建.

    更多相关视频

    High Resolution Quantitative Synaptic Proteome Profiling of Mouse Brain Regions After Auditory Discrimination Learning
    10:36

    High Resolution Quantitative Synaptic Proteome Profiling of Mouse Brain Regions After Auditory Discrimination Learning

    Published on: December 15, 2016

    10.9K
    Preparation of Synaptoneurosomes from Mouse Cortex using a Discontinuous Percoll-Sucrose Density Gradient
    08:30

    Preparation of Synaptoneurosomes from Mouse Cortex using a Discontinuous Percoll-Sucrose Density Gradient

    Published on: September 17, 2011

    32.6K

    相关实验视频

    Last Updated: Jan 8, 2026

    Author Spotlight: Exploring Glial Influence in Experience-Dependent Synaptic Pruning During Critical Periods
    07:13

    Author Spotlight: Exploring Glial Influence in Experience-Dependent Synaptic Pruning During Critical Periods

    Published on: March 1, 2024

    1.0K
    High Resolution Quantitative Synaptic Proteome Profiling of Mouse Brain Regions After Auditory Discrimination Learning
    10:36

    High Resolution Quantitative Synaptic Proteome Profiling of Mouse Brain Regions After Auditory Discrimination Learning

    Published on: December 15, 2016

    10.9K
    Preparation of Synaptoneurosomes from Mouse Cortex using a Discontinuous Percoll-Sucrose Density Gradient
    08:30

    Preparation of Synaptoneurosomes from Mouse Cortex using a Discontinuous Percoll-Sucrose Density Gradient

    Published on: September 17, 2011

    32.6K

    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.
    • 生物信息学是一种生物信息学.

    背景情况:

    • 康涅狄格学旨在在突触层面绘制神经线路图.
    • 自动化细分工具加速了连接组的重建,但需要广泛的人类校对以获得准确性.

    研究的目的:

    • 介绍SynAnno,一个交互式工具,用于简化和增强大规模连接经济学数据集中的突触注释校对.
    • 为了提高连接组重建中手动校对的效率和准确性.

    主要方法:

    • 在现有的神经科学工作流程中,SynAnno可以实现指导性,以神经元为中心的校对.
    • 它具有结构化的工作流,具有优化的穿越路径和3D迷你地图.
    • 精心调整的机器学习模型有助于错误检测和纠正.

    主要成果:

    • 用户和神经科学专家的案例研究证明了SynAnno的有效性.
    • SynAnno显著加快了突触校对的速度.
    • 它通过结构化指导和可视化来减少认知负载和注释错误.

    结论:

    • SynAnno提高了连接学中的突触注释校对的效率和准确性.
    • 该工具可以无地集成到神经科学工作流程中,帮助重建复杂的神经回路.
    • 在大规模连接组分析中,SynAnno提供了一种有价值的解决方案,可以减少手工负担.