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

Long-term Potentiation01:25

Long-term Potentiation

2.8K
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.
Hebbian LTP
LTP can occur when...
2.8K
Neuroplasticity01:01

Neuroplasticity

329
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.
329
Role of Hippocampus in Memory01:19

Role of Hippocampus in Memory

235
The hippocampus, a critical brain structure, plays an essential role in memory processing, particularly in the formation and retrieval of memory. This small, seahorse-shaped region is located within the medial temporal lobe, with one hippocampus in each brain hemisphere. Experimental studies involving lesions in the hippocampi of rats have demonstrated significant impairments in tasks such as object recognition and maze navigation, indicating the hippocampus involvement in both recognition and...
235
Higher Mental Functions of Brain: Learning and Memory01:26

Higher Mental Functions of Brain: Learning and Memory

746
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...
746
Long-term Depression01:03

Long-term Depression

2.5K
Long-term depression, or LTD, is one of the ways by which synaptic plasticity—changes in the strength of chemical synapses—can occur in the brain. LTD is the process of synaptic weakening that occurs over time between pre and postsynaptic neuronal connections. The synaptic weakening of LTD works in opposition to synaptic strengthening by long-term potentiation (LTP) and together are the main mechanisms that underlie learning and memory.
Calcium Ion Concentration Mechanism
If over...
2.5K

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

Transient pores account for cell-penetrating peptide and homeoprotein translocation.

Proceedings of the National Academy of Sciences of the United States of America·2026
Same author

Functional architecture for speed tuning in primary visual cortex of carnivores.

bioRxiv : the preprint server for biology·2025
Same author

3D pattern formation of a protein-membrane suspension.

Proceedings of the National Academy of Sciences of the United States of America·2025
Same author

Latent encoding of movement in primary visual cortex.

bioRxiv : the preprint server for biology·2024
Same author

Reliability and robustness of oscillations in some slow-fast chaotic systems.

Chaos (Woodbury, N.Y.)·2023
Same author

Huntingtin recruits KIF1A to transport synaptic vesicle precursors along the mouse axon to support synaptic transmission and motor skill learning.

eLife·2023

相关实验视频

Updated: Jun 26, 2025

Slice Patch Clamp Technique for Analyzing Learning-Induced Plasticity
11:56

Slice Patch Clamp Technique for Analyzing Learning-Induced Plasticity

Published on: November 11, 2017

15.4K

反赫比的可塑性驱动了条形体中的序列学习.

Gaëtan Vignoud1, Laurent Venance2, Jonathan D Touboul3

  • 1Center for Interdisciplinary Research in Biology (CIRB), College de France, CNRS, INSERM, Université PSL, Paris, France.

Communications biology
|May 9, 2024
PubMed
概括

反赫布斯尖峰定时依赖可塑性 (STDP) 使神经元能够学习尖峰序列. 这种机制,结合诸如尖端延迟和抑制之类的生物特性,改善了奖励序列的区分.

更多相关视频

Investigating Long-term Synaptic Plasticity in Interlamellar Hippocampus CA1 by Electrophysiological Field Recording
14:27

Investigating Long-term Synaptic Plasticity in Interlamellar Hippocampus CA1 by Electrophysiological Field Recording

Published on: August 11, 2019

12.6K
The Double-H Maze: A Robust Behavioral Test for Learning and Memory in Rodents
09:01

The Double-H Maze: A Robust Behavioral Test for Learning and Memory in Rodents

Published on: July 8, 2015

12.6K

相关实验视频

Last Updated: Jun 26, 2025

Slice Patch Clamp Technique for Analyzing Learning-Induced Plasticity
11:56

Slice Patch Clamp Technique for Analyzing Learning-Induced Plasticity

Published on: November 11, 2017

15.4K
Investigating Long-term Synaptic Plasticity in Interlamellar Hippocampus CA1 by Electrophysiological Field Recording
14:27

Investigating Long-term Synaptic Plasticity in Interlamellar Hippocampus CA1 by Electrophysiological Field Recording

Published on: August 11, 2019

12.6K
The Double-H Maze: A Robust Behavioral Test for Learning and Memory in Rodents
09:01

The Double-H Maze: A Robust Behavioral Test for Learning and Memory in Rodents

Published on: July 8, 2015

12.6K

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.
  • 突触性可塑性 突触性可塑性

背景情况:

  • 时空活动模式对于各种大脑功能至关重要.
  • 神经元序列学习的机制在很大程度上是未知的.
  • 挑战包括记住尖峰历史和区分类似序列的记忆.

研究的目的:

  • 调查反赫比斯尖峰定时依赖可塑性 (STDP) 是否可以促进尖峰序列学习.
  • 模拟条状输出神经元的区分奖励与非奖励的尖峰模式的能力.
  • 探索生物网络特性在序列歧视中的作用.

主要方法:

  • 开发了一个带状输出神经元的尖端模型.
  • 利用了反-Hebbian STDP与非关联性强化相结合,以获得奖励模式.
  • 分析了尖端延迟和附带抑制对序列歧视准确性的影响.

主要成果:

  • 反Hebbian STDP自然会导致学习尖峰序列.
  • 条形输出神经元可以区分奖励与非奖励的模式.
  • 尖端延迟和附带抑制增强了部分重叠序列的歧视.

结论:

  • 反Hebbian STDP 提供了学习尖端序列的生物基质.
  • 像尖端延迟和附带抑制这样的网络属性对于准确的序列区分至关重要.
  • 这个模型提供了关于大脑如何学习时间信息的见解.