相关实验视频

Updated: Jul 4, 2026

High Density Event-related Potential Data Acquisition in Cognitive Neuroscience
08:33

High Density Event-related Potential Data Acquisition in Cognitive Neuroscience

Published on: April 16, 2010

12.7K

在神经时间序列中逐试检测认知事件的试验

Gabriel Weindel1,2, Leendert van Maanen1, Jelmer P Borst2

  • 1Department of Experimental Psychology, Utrecht University, Utrecht, The Netherlands.

Imaging neuroscience (Cambridge, Mass.)
|August 13, 2025
PubMed
概括

这项研究引入了一种新方法,用于识别像EEG这样的大脑记录中的神经事件序列. 隐藏的多变量模式 (HMP) 方法准确地绘制了大脑反应,并增强了认知神经科学研究.

关键词:
电力生理学 电力生理学心理计时计时器的时间表.多变量模式的多变量模式一次性试验分析时间动态的时间动态.时间序列分析分析时间序列分析

更多相关视频

Mapping Cortical Dynamics Using Simultaneous MEG/EEG and Anatomically-constrained Minimum-norm Estimates: an Auditory Attention Example08:45

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

Published on: October 24, 2012

14.8K
Investigating the Function of Deep Cortical and Subcortical Structures Using Stereotactic Electroencephalography: Lessons from the Anterior Cingulate Cortex09:00

Investigating the Function of Deep Cortical and Subcortical Structures Using Stereotactic Electroencephalography: Lessons from the Anterior Cingulate Cortex

Published on: April 15, 2015

12.4K

相关概念视频

Parallel Processing01:20

Parallel Processing

The brain processes sensory information rapidly due to parallel processing, which involves sending data across multiple neural pathways at the same time. This method allows the brain to manage various sensory qualities, such as shapes, colors, movements, and locations, all concurrently. For instance, when observing a forest landscape, the brain simultaneously processes the movement of leaves, the shapes of trees, the depth between them, and the various shades of green. This enables a quick and...