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相关概念视频

Role of Neurotransmitters in Memory01:23

Role of Neurotransmitters in Memory

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Neurotransmitters are integral to the brain's communication system, enabling neurons to transmit signals across synapses. This chemical exchange underpins various cognitive functions, including memory processes. The role of neurotransmitters in memory is multifaceted, influencing the encoding, consolidation, and retrieval of memories through their action on different neural circuits.
 Glutamate and Synaptic Plasticity
Glutamate, the brain's main excitatory neurotransmitter, is...
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Integration of Synaptic Events01:28

Integration of Synaptic Events

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Synaptic integration mainly includes the summation of graded potentials. Graded potentials, regardless of their type, cause subtle alterations in membrane voltage, resulting in either depolarization or hyperpolarization. These incremental changes, when combined or summed, can propel the neuron toward its threshold. Consider, for example, a membrane experiencing a +15 mV shift, causing it to depolarize from -70 mV to -55 mV. In this scenario, graded potentials govern the membrane's ability to...
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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
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
Overview of Synapses01:25

Overview of Synapses

2.3K
A synapse is a specialized structure where two neurons connect, allowing them to pass an electrical or chemical signal to another neuron. It is the point of communication between neurons. The term "synapse" is derived from the Greek word "synapsis," which means "conjunction." The entire process of neural communication revolves around the synapse. When activated, a neuron releases chemicals known as neurotransmitters into the synapse. These neurotransmitters cross the synapse and bind to...
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Chemical Synapses01:26

Chemical Synapses

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Chemical synapses are specialized sites between two neurons or between a neuron and a non-neuronal cell like a muscle, glandular or sensory cell.
Because chemical synapses depend on the release of neurotransmitter molecules from synaptic vesicles to pass on their signal, there is an approximately one millisecond delay between when the axon potential reaches the presynaptic terminal and when the neurotransmitter leads to opening of postsynaptic ion channels. Additionally, this signaling is...
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相关实验视频

Updated: Jun 29, 2025

Evaluation of Synaptic Multiplicity Using Whole-cell Patch-clamp Electrophysiology
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Evaluation of Synaptic Multiplicity Using Whole-cell Patch-clamp Electrophysiology

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记忆巩固的基础是突触重量动态:对学习规则,电路组织和电路功能的影响.

Brandon J Bhasin, Jennifer L Raymond, Mark S Goldman

    bioRxiv : the preprint server for biology
    |April 8, 2024
    PubMed
    概括
    此摘要是机器生成的。

    这项研究揭示了记忆如何通过时间整合在大脑区域之间移动,平衡新学习与记忆保存. 这一过程涉及到特定的突触规则和活动重置,为小脑电路功能提供了洞察力.

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    3D Modeling of Dendritic Spines with Synaptic Plasticity
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    Investigation of Synaptic Tagging/Capture and Cross-capture using Acute Hippocampal Slices from Rodents
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    Investigation of Synaptic Tagging/Capture and Cross-capture using Acute Hippocampal Slices from Rodents

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    相关实验视频

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    3D Modeling of Dendritic Spines with Synaptic Plasticity
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    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.
    • 系统神经科学 系统神经科学

    背景情况:

    • 系统整合描述了大脑区域之间的记忆传输.
    • 了解这个过程是记忆研究的关键.

    研究的目的:

    • 在简单电路架构中阐明系统整合的动态.
    • 提出一个统一的原则,随着时间的推移改变记忆.

    主要方法:

    • 研究了两个可塑性位点 (早期和晚期学习区域) 的简单电路模型.
    • 在模拟记忆巩固过程中分析了突触动态.
    • 利用计算建模来表示大脑电路.

    主要成果:

    • 巩固期间的突触动态作为时间整合,将短暂的活动积累成持久的变化.
    • 这个原理解释了速度-精度的权衡和稳定性-可塑性困境.
    • 确定的约束:晚期部位的异质突触可塑性规则和早期部位的活性重置至关重要.

    结论:

    • 一个简单的时间整合原则支配了系统的整合.
    • 这些发现表明小脑电路元素在记忆处理中的新角色.
    • 该模型提供了关于存储新记忆,同时保存旧记忆的见解.