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相关概念视频

Long-term Potentiation01:35

Long-term Potentiation

58.2K
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.
58.2K
Long-term Potentiation01:25

Long-term Potentiation

3.4K
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...
3.4K
Neuroplasticity01:01

Neuroplasticity

1.5K
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.
1.5K
Long-term Depression01:03

Long-term Depression

3.0K
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...
3.0K
Long-term Depression01:05

Long-term Depression

33.0K
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.
33.0K
Plasticity00:58

Plasticity

3.0K
Plasticity is the property where an object loses its elasticity and undergoes irreversible deformation, even after the deformation forces are eliminated. If a material deforms irreversibly without increasing stress or load, then this is called ideal plasticity. For example, when a force is applied to an aluminum rod, it changes its shape, but it does not return to its original shape once the force is removed. Plastic deformation or ductility is thus a permanent deformation or change in the...
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CDKL5 deficiency results in atypical subregion-specific expression of perineuronal nets during mouse visual critical period.

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Network-Level Characterization of Hippocampal Disruptions in Alzheimer's Disease Using Large-Scale Electrophysiology.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2025
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相关实验视频

Updated: Jan 9, 2026

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

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一个学习和记忆的计算框架:在LTP诱导的可塑性期间的网络动机进化.

Xin Hu, Shahrukh Khanzada, Brett Addison Emery

    Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
    |December 3, 2025
    PubMed
    概括

    网络图案指导海马体中的突触可塑性. 这项研究揭示了这些连接模式如何在长期增强过程中重组,平衡网络效率和内存编码的稳定性.

    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:

    • 神经电路的复杂性给理解网络层面的突触可塑性带来了挑战.
    • 网络模式,反复出现的功能连接模式,为分析提供了一个框架.

    研究的目的:

    • 在海马体CA1-CA3电路中使用网络动机剖析长期增强 (LTP) 诱导的网络重组.
    • 评估图案演变在网络稳定性,突触强度和关键性-冗余性权衡中的作用.

    主要方法:

    • 高密度微电极阵列 (HD-MEA) 记录到轨道网络LTP.
    • 在高频刺激之前和之后对图案演变的系统分析.
    • 图形理论分析以描述网络重组轨迹.

    主要成果:

    • 由LTP引起的重组遵循一个结构化的,以动机为导向的轨迹.
    • 早期的动机招聘提高了网络效率.
    • 后期阶段涉及精细化,平衡效率与稳定性.

    结论:

    • 通过网络模式的结构化连接,可以实现适应性网络层面的可塑性.

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    Long-term Potentiation of Perforant Pathway-dentate Gyrus Synapse in Freely Behaving Mice

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  • 这种可塑性平衡了网络效率和稳定性,这对于内存编码至关重要.
  • 这些发现为了解记忆障碍提供了一个框架.