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

Neuroplasticity01:01

Neuroplasticity

808
Neuroplasticity reflects the brain's remarkable capacity to adapt and evolve, responding dynamically to learning, experiences, or injury by reorganizing its neural circuitry. This reorganization involves creating new neural connections and refining old ones through a series of biological processes that contribute to the brain's lifelong development and adaptability.
808
Higher Mental Functions of Brain: Learning and Memory01:26

Higher Mental Functions of Brain: Learning and Memory

977
Memory is one of the most vital higher mental functions of the brain. Memory is closely related to learning because it enables us to retain information and experiences from our past to use them in our present life. It also helps us to remember facts, events, and skills, such as riding a bike or swimming. There are two types of memory — declarative memory, which involves memorizing facts or events, and procedural memory, which enables us to remember how to do something like writing or...
977
Long-term Potentiation01:35

Long-term Potentiation

55.9K
Long-term potentiation, or LTP, is one of the ways by which synaptic plasticity—changes in the strength of chemical synapses—can occur in the brain. LTP is the process of synaptic strengthening that occurs over time between pre- and postsynaptic neuronal connections. The synaptic strengthening of LTP works in opposition to the synaptic weakening of long-term depression (LTD) and together are the main mechanisms that underlie learning and memory.
55.9K
Functional Brain Systems: Reticular Formation01:13

Functional Brain Systems: Reticular Formation

2.7K
The reticular formation is a complex network of gray and white matter located within the brainstem extending from the medulla to the midbrain.
Within the reticular formation, there are several distinct nuclei that can be classified into three broad categories. The Raphe nuclei are located along the midline of the brainstem. They are primarily known for their role in synthesizing and releasing serotonin, a neurotransmitter involved in regulating mood, appetite, sleep, and circadian rhythms. The...
2.7K

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

Digital Cognitive Phenotyping for Differential Diagnosis and Monitoring in Neurological Conditions.

Annals of clinical and translational neurology·2026
Same author

Molecular, cellular and network mapping of brain structural deviations in patients with Post-COVID19 syndrome.

Brain, behavior, & immunity - health·2026
Same author

The association between autistic traits and trajectories of anxiety in middle-aged and older adults: an 8-year growth mixture model analysis.

Nature. Mental health·2026
Same author

Cortical synchrony is reduced in Alzheimer's disease and relates to arousal state.

Alzheimer's & dementia : the journal of the Alzheimer's Association·2026
Same author

Brain dynamics of attentional, default-mode and limbic networks are disrupted at rest in post-COVID-19 syndrome.

Brain, behavior, & immunity - health·2026
Same author

Cross-sectional and longitudinal associations of self-perceptions of aging with physical activity in multimorbidity: The role of depressive symptoms.

Archives of gerontology and geriatrics·2026

相关实验视频

Updated: Sep 19, 2025

Dynamic Inter-subject Functional Connectivity Reveals Moment-to-Moment Brain Network Configurations Driven by Continuous or Communication Paradigms
08:36

Dynamic Inter-subject Functional Connectivity Reveals Moment-to-Moment Brain Network Configurations Driven by Continuous or Communication Paradigms

Published on: March 21, 2019

7.4K

在学习执行复杂任务时,优化功能性大脑网络动态.

Beth L Parkin1, Richard E Daws2, Gregory Scott3

  • 1Department of Psychology, School of Social Sciences, University of Westminster, London, UK.

Neuropsychologia
|June 1, 2025
PubMed
概括
此摘要是机器生成的。

学习复杂的任务涉及大脑网络的变化. 默认模式网络和多重需求皮层适应,减少切换提高性能和大脑活动模式反映任务需求.

关键词:
行为结构 行为结构认知控制 认知控制默认模式的网络模式是默认模式.学习 学习 学习 学习 学习多个需求的网络网络.交换任务的任务交换.功能磁力共振成像 (fMRI) 是一种

更多相关视频

A Method for Investigating Age-related Differences in the Functional Connectivity of Cognitive Control Networks Associated with Dimensional Change Card Sort Performance
09:01

A Method for Investigating Age-related Differences in the Functional Connectivity of Cognitive Control Networks Associated with Dimensional Change Card Sort Performance

Published on: May 7, 2014

10.3K
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

1.2K

相关实验视频

Last Updated: Sep 19, 2025

Dynamic Inter-subject Functional Connectivity Reveals Moment-to-Moment Brain Network Configurations Driven by Continuous or Communication Paradigms
08:36

Dynamic Inter-subject Functional Connectivity Reveals Moment-to-Moment Brain Network Configurations Driven by Continuous or Communication Paradigms

Published on: March 21, 2019

7.4K
A Method for Investigating Age-related Differences in the Functional Connectivity of Cognitive Control Networks Associated with Dimensional Change Card Sort Performance
09:01

A Method for Investigating Age-related Differences in the Functional Connectivity of Cognitive Control Networks Associated with Dimensional Change Card Sort Performance

Published on: May 7, 2014

10.3K
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

1.2K

科学领域:

  • 神经科学是一个神经科学.
  • 认知心理学 认知心理学
  • 人类行为人类行为.

背景情况:

  • 了解大脑如何学习复杂的任务至关重要.
  • 大脑网络在学习过程中对人类行为的结构起着关键作用.
  • 自律切换 (SOS) fMRI范式为研究这一过程提供了一种新的方法.

研究的目的:

  • 研究大脑网络如何在复杂任务学习过程中促进结构化行为.
  • 使用SOS fMRI,比较不同水平的预训练和反的学习过程.
  • 识别与行为优化和任务结构相关的神经变化.

主要方法:

  • 采用了两种新的自序切换 (SOS) fMRI范式.
  • 研究1涉及最小的预训练和详细的反来捕捉学习过程.
  • 第二项研究使用了大量的预训练和最小的反作为对照条件.

主要成果:

  • 学习的特点是任务交换频率降低,并且通过结构化的例行程序提高了表现.
  • 随着实践,默认模式网络 (DMN) 的激活在例行试验中增加,而多重需求皮层 (MDC) 的激活则减少.
  • 相反,对于SOS事件,MDC激活增加,DMN激活随着练习而下降.
  • 神经变化与行为常规结构的程度相关.
  • 在广泛的预训练的研究2中,学习特征的明显程度较低.

结论:

  • 默认模式网络和多重需求皮层在复杂任务学习中表现出互补的作用.
  • 这些网络变得不同调整到常规与执行人员交换需求.
  • 在技能获取过程中,行为结构和神经适应密切相关.