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

Generalization, Discrimination, and Extinction01:24

Generalization, Discrimination, and Extinction

632
Generalization, discrimination, and extinction are key concepts in operant conditioning that influence how behaviors are learned and maintained.
Generalization occurs when a behavior reinforced in one context is performed in similar situations. For instance, a student who studies diligently for calculus and receives excellent grades might apply the same study habits to psychology and history, expecting similar results. Generalization shows how learning in one setting can influence behavior in...
632
Neural Regulation01:37

Neural Regulation

39.6K
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.
39.6K
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
The Representativeness Heuristic02:13

The Representativeness Heuristic

15.8K
The representative heuristic describes a biased way of thinking, in which you unintentionally stereotype someone or something. For example, you may assume that your professors spend their free time reading books and engaging in intellectual conversation, because the idea of them spending their time playing volleyball or visiting an amusement park does not fit in with your stereotypes of professors.
15.8K

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

MRI-guided detection of knee injuries as a concomitant lesion of femoral shaft fractures: a systematic review and meta-analysis.

EFORT open reviews·2026
Same author

Lempel-Ziv complexity of simultaneous surface electromyography and magnetomyography during muscle fatigue.

Journal of neural engineering·2026
Same author

False Percepts as a Window onto Visual Processing.

The Journal of neuroscience : the official journal of the Society for Neuroscience·2026
Same author

An artifact-robust framework for measuring tES effects during stimulation.

Journal of neural engineering·2026
Same author

Sleep magnetoencephalography enhances detection and source imaging of seizures and fast oscillations in focal cortical dysplasia.

Epilepsia·2026
Same author

Data-driven ANN-based visual decoding enables unsupervised functional alignment.

Communications biology·2026

相关实验视频

Updated: Jul 24, 2025

Large-scale Reconstructions and Independent, Unbiased Clustering Based on Morphological Metrics to Classify Neurons in Selective Populations
12:27

Large-scale Reconstructions and Independent, Unbiased Clustering Based on Morphological Metrics to Classify Neurons in Selective Populations

Published on: February 15, 2017

7.0K

测试神经表示的概括性.

Florian Sandhaeger1, Markus Siegel2

  • 1Department of Neural Dynamics and Magnetoencephalography, Hertie Institute for Clinical Brain Research, University of Tübingen, Germany; Centre for Integrative Neuroscience, University of Tübingen, Germany; MEG Center, University of Tübingen, Germany; IMPRS for Cognitive and Systems Neuroscience, University of Tübingen, Germany.

NeuroImage
|July 10, 2023
PubMed
概括

神经科学中的模式概括可能是误导性的. 模拟显示信号混合可能导致错误的阳性,但一种新方法有助于准确评估跨语境的神经表征.

关键词:
交叉解码的解码方法神经群体测量神经群体测量神经代表的神经表示.模式概括模式的一般化代表性的概括.

更多相关视频

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

10.4K
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

相关实验视频

Last Updated: Jul 24, 2025

Large-scale Reconstructions and Independent, Unbiased Clustering Based on Morphological Metrics to Classify Neurons in Selective Populations
12:27

Large-scale Reconstructions and Independent, Unbiased Clustering Based on Morphological Metrics to Classify Neurons in Selective Populations

Published on: February 15, 2017

7.0K
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

10.4K
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

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.
  • 在神经科学中的机器学习

背景情况:

  • 多变量分析是理解神经表示的关键.
  • 模式概括评估跨语境的表示相似性,但其在质量信号中的解释是有争议的.

研究的目的:

  • 在大规模神经成像信号中调查模式概括发现的有效性.
  • 开发一种方法来准确评估尽管信号混的神经表征.

主要方法:

  • 利用模拟来建模神经数据中的信号混合和测量依赖性.
  • 开发了一种方法来估计对直角表示的预期模式概括.
  • 应用该方法来评估神经表征在时间和背景上的相似性.

主要成果:

  • 信号混合和测量依赖性可以虚假地膨胀模式概括.
  • 确定了直角表示产生显著概括的条件.
  • 拟议的方法提供了可靠的预期模式概括的估计.

结论:

  • 在质量信号 (LFP,EEG,MEG,fMRI) 中的标准模式概括可能不反映真正的表示相似性.
  • 开发的方法允许对神经表示概括进行强有力的假设测试.
  • 准确估计预期的概括对于有效地解释跨语境的表示相似性至关重要.