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

Propagation of Action Potentials01:23

Propagation of Action Potentials

8.8K
The propagation of an action potential refers to the process by which a nerve impulse, or "action potential," travels along a neuron.
Neurons (nerve cells) have a resting membrane potential, with a slightly negative charge inside compared to outside. This is maintained by ion channels, such as sodium (Na+) and potassium (K+) channels, which control the flow of ions. When a stimulus, like a touch or a signal from another neuron, triggers the neuron, sodium channels open, allowing sodium ions to...
8.8K
The Role of Ion Channels in Neuronal Computation01:19

The Role of Ion Channels in Neuronal Computation

3.6K
A postsynaptic neuron usually receives numerous impulses from several other presynaptic neurons. The axon hillock of the postsynaptic neuron integrates all these signals and determines the likelihood of firing an action potential.
Sometimes a single EPSP is strong enough to induce an action potential in the postsynaptic neuron. However, multiple presynaptic inputs must often create EPSPs around the same time for the postsynaptic neuron to be sufficiently depolarized to fire an action potential....
3.6K
Neural Circuits01:25

Neural Circuits

2.6K
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...
2.6K
Action Potential01:14

Action Potential

10.6K
Neurons communicate by firing action potentials—the electrochemical signal that is propagated along the axon. The signal results in the release of neurotransmitters at axon terminals, thereby transmitting information to the nervous system. An action potential is a specific "all-or-none" change in membrane potential that results in a rapid spike in voltage.
Membrane potential in neurons
Neurons typically have a resting membrane potential of about -70 millivolts (mV). When they receive...
10.6K
Action Potential: Phases of Stimulation01:28

Action Potential: Phases of Stimulation

11.2K
The action potential is a complex electrical event that occurs in excitable cells, such as neurons and muscle cells. It consists of several distinct phases, each with specific characteristics.
Resting Phase:
In this phase, the cell's membrane is at its resting potential, typically around -70 millivolts (mV) for neurons. Inside the cell, there is a higher concentration of potassium ions (K+) and a lower concentration of sodium ions (Na+). Voltage-gated sodium channels are closed, and...
11.2K
Neural Regulation01:37

Neural Regulation

43.0K
Digestion begins with a cephalic phase that prepares the digestive system to receive food. When our brain processes visual or olfactory information about food, it triggers impulses in the cranial nerves innervating the salivary glands and stomach to prepare for food.
43.0K

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

Neuropixels Opto: combining high-resolution electrophysiology and optogenetics.

Nature methods·2026
Same author

Topographic structure and function of locus coeruleus norepinephrine neurons.

bioRxiv : the preprint server for biology·2026
Same author

Functional reorganization of motor cortex connectivity during learning.

bioRxiv : the preprint server for biology·2026
Same author

Glutamate indicators with increased sensitivity and tailored deactivation rates.

Nature methods·2025
Same author

Connectivity underlying motor cortex activity during goal-directed behaviour.

Nature·2025
Same author

Brain-wide analysis reveals movement encoding structured across and within brain areas.

Nature neuroscience·2025
Same journal

Genetic Impacts on Variability of Body Fat Distribution Uncover Gene-Environment and Gene-Gene Interactions.

bioRxiv : the preprint server for biology·2026
Same journal

16S ribosomal RNA modification drives transcript-specific translation efficiency.

bioRxiv : the preprint server for biology·2026
Same journal

FlcE latches onto the FliL-stator complex to turbocharge flagellar motility in <i>Borrelia burgdorferi</i>.

bioRxiv : the preprint server for biology·2026
Same journal

Synaptic pruning, myelination and the emergence of psychiatric disorders in late adolescence.

bioRxiv : the preprint server for biology·2026
Same journal

Structural and functional insights into the Rcs phosphorelay.

bioRxiv : the preprint server for biology·2026
Same journal

The structural basis of RanGAP1 regulation and catalysis in nuclear transport.

bioRxiv : the preprint server for biology·2026
查看所有相关文章

相关实验视频

Updated: Jan 9, 2026

Automated Multimodal Stimulation and Simultaneous Neuronal Recording from Multiple Small Organisms
08:28

Automated Multimodal Stimulation and Simultaneous Neuronal Recording from Multiple Small Organisms

Published on: March 3, 2023

1.5K

在任务编码维度之外的神经动力学通过短暂放大驱动决策轨迹.

Ulises Pereira-Obilinovic1, Kayvon Daie1, Susu Chen2

  • 1Allen Institute for Neural Dynamics, Seattle, WA, United States of America.

bioRxiv : the preprint server for biology
|December 3, 2025
PubMed
概括
此摘要是机器生成的。

与任务相关的"编码维度"之外的神经活动关键地驱动行为. 经常被忽视的剩余维度通过影响神经动力学来因果地塑造决策,挑战神经计算的传统观点.

更多相关视频

Perspectives on Neuroscience
26:41

Perspectives on Neuroscience

Published on: July 31, 2007

5.3K
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

10.8K

相关实验视频

Last Updated: Jan 9, 2026

Automated Multimodal Stimulation and Simultaneous Neuronal Recording from Multiple Small Organisms
08:28

Automated Multimodal Stimulation and Simultaneous Neuronal Recording from Multiple Small Organisms

Published on: March 3, 2023

1.5K
Perspectives on Neuroscience
26:41

Perspectives on Neuroscience

Published on: July 31, 2007

5.3K
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

10.8K

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:

  • 神经活动发生在高维空间中.
  • 任务对齐的子空间 (编码维度) 通常用于决策.
  • 在这些子空间 (剩余维度) 外的神经活动的作用尚不清楚.

研究的目的:

  • 调查编码和残留神经维度在决策中的因果作用.
  • 在单个试验中模拟这些子空间之间的动态相互作用.
  • 在理解神经计算方面挑战对低维编码子空间的关注.

主要方法:

  • 开发了一个循环神经网络模型,以适应人口活动.
  • 将模型应用于来自小鼠前侧运动皮质和运动体的电生理记录.
  • 扰乱编码和残余维度以观察对行为的影响.

主要成果:

  • 剩余维度的扰动改变了行为选择,而选择维度的扰动无效.
  • 在吸引力状态崩之前,残余维度驱动了跨维度的短暂放大.
  • 错误试验显示轨迹沿剩余维度移动,影响决策.
  • 甲状腺残留活性影响皮层决策动态.

结论:

  • 以前被认为与任务无关的神经维度 (残余维度) 在驾驶行为中起着至关重要的作用.
  • 这项研究挑战了低维编码子空间对于解释神经计算的充分性.
  • 选择性较弱的甲状腺群体有助于皮质的决策和选择性.