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

Probability Laws01:49

Probability Laws

43.9K
Overview
43.9K
Probability in Statistics01:14

Probability in Statistics

21.9K
Probability is the likelihood of an event occurring. The term event is defined as a collection of results of a procedure. An event is a simple event when an outcome cannot be divided into simpler parts.
An example of a simple event is a coin toss. The result of a coin toss is either a head or a tail. Here, head and tail are two simple events. These two simple events make up the sample space. Further, the probability of an event occurring falls within the range of 0 to 1. The probability of an...
21.9K
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
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
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
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

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

Clarifying the conceptual dimensions of representation in neuroscience.

Nature reviews. Neuroscience·2026
Same author

Individual Brain Charting: fifth release of high-resolution fMRI data for cognitive mapping.

Scientific data·2026
Same author

An Interactive Brain Atlas of Knowledge.

bioRxiv : the preprint server for biology·2025
Same author

Encoding of Numerosity With Robustness to Object and Scene Identity in Biologically Inspired Object Recognition Networks.

Neural computation·2025
Same author

Distinct neural representational geometries of numerosity in early visual and association regions across visual streams.

Communications biology·2025
Same author

A global effort to benchmark predictive models and reveal mechanistic diversity in long-term stroke outcomes.

Research square·2025

相关实验视频

Updated: Jan 10, 2026

Applications of EEG Neuroimaging Data: Event-related Potentials, Spectral Power, and Multiscale Entropy
11:15

Applications of EEG Neuroimaging Data: Event-related Potentials, Spectral Power, and Multiscale Entropy

Published on: June 27, 2013

34.3K

人类大脑中事件概率的非单调代码.

Cedric Foucault1,2, Tiffany Bounmy3, Sébastien Demortain3

  • 1Cognitive Neuroimaging Unit, NeuroSpin (INSERM-CEA), University of Paris-Saclay, Gif-sur-Yvette, France. cedric.foucault@gmail.com.

Nature communications
|November 27, 2025
PubMed
概括

研究人员在大脑中发现了事件概率的神经表现. 这种概率编码在背侧前额叶皮和脑内皮层中是非单调的,挑战了以前的假设.

更多相关视频

Mapping Cortical Dynamics Using Simultaneous MEG/EEG and Anatomically-constrained Minimum-norm Estimates: an Auditory Attention Example
08:45

Mapping Cortical Dynamics Using Simultaneous MEG/EEG and Anatomically-constrained Minimum-norm Estimates: an Auditory Attention Example

Published on: October 24, 2012

15.1K
Studying the Coding Profiles of Somatic Stimulation on Cardiac-locked Neuronal Responses in the Rat Spinal Dorsal Horn
07:12

Studying the Coding Profiles of Somatic Stimulation on Cardiac-locked Neuronal Responses in the Rat Spinal Dorsal Horn

Published on: May 23, 2025

492

相关实验视频

Last Updated: Jan 10, 2026

Applications of EEG Neuroimaging Data: Event-related Potentials, Spectral Power, and Multiscale Entropy
11:15

Applications of EEG Neuroimaging Data: Event-related Potentials, Spectral Power, and Multiscale Entropy

Published on: June 27, 2013

34.3K
Mapping Cortical Dynamics Using Simultaneous MEG/EEG and Anatomically-constrained Minimum-norm Estimates: an Auditory Attention Example
08:45

Mapping Cortical Dynamics Using Simultaneous MEG/EEG and Anatomically-constrained Minimum-norm Estimates: an Auditory Attention Example

Published on: October 24, 2012

15.1K
Studying the Coding Profiles of Somatic Stimulation on Cardiac-locked Neuronal Responses in the Rat Spinal Dorsal Horn
07:12

Studying the Coding Profiles of Somatic Stimulation on Cardiac-locked Neuronal Responses in the Rat Spinal Dorsal Horn

Published on: May 23, 2025

492

科学领域:

  • 神经科学是一个神经科学.
  • 认知科学 认知科学
  • 计算神经科学是一种神经科学.

背景情况:

  • 预测未来的事件和评估概率对于适应性行为至关重要.
  • 概率估计的神经相关性尚未得到充分理解,之前的研究集中在相关因素上,如不确定性和惊喜.

研究的目的:

  • 识别和描述人类大脑中事件概率的神经表征.
  • 研究用于特定大脑区域概率估计的编码策略.

主要方法:

  • 使用7特斯拉功能磁共振成像 (fMRI) 来测量大脑活动.
  • 使用单变量和多变量分析来检查神经表征.
  • 对概率和信心估计的调整曲线进行分析.

主要成果:

  • 在人类的背侧前额皮层和内侧皮层中发现了下一个事件概率的神经表现.
  • 揭示了一种非单调的概率编码方案,调整曲线对不同概率范围具有选择性.
  • 观察到一种主要单调的代码,用于对这些概率估计的信心.

结论:

  • 大脑使用各种编码策略,包括非单调的表示,用于概率估计.
  • 未来的研究应该探索更丰富的,非规范的调曲线模型用于神经表征.
  • 需要进一步的研究,以了解各种编码方案对概率和信心的功能意义.