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関連する概念動画

Long-term Potentiation01:25

Long-term Potentiation

2.9K
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.
Hebbian LTP
LTP can occur when...
2.9K
Neuroplasticity01:01

Neuroplasticity

752
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.
752
Plasticity00:58

Plasticity

2.5K
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...
2.5K
Long-term Depression01:03

Long-term Depression

2.6K
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...
2.6K
Postsynaptic Potential (PSP)01:32

Postsynaptic Potential (PSP)

3.4K
Postsynaptic potential (PSP) refers to a change in the electrical potential of a neuron when neurotransmitters released by presynaptic neurons bind to postsynaptic receptors. This potential can either be excitatory, leading to depolarization and ultimately action potential generation, or inhibitory, leading to hyperpolarization and suppression of the postsynaptic neuron.
There are two types of receptors: ionotropic and metabotropic.
The ionotropic receptor is the membrane protein that has an...
3.4K
Integration of Synaptic Events01:28

Integration of Synaptic Events

2.1K
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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関連する実験動画

Updated: Sep 9, 2025

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

Published on: September 4, 2015

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結合性シナプス可塑性は,ダイナミックな持続的な活動を生み出します.

Albert J Wakhloo, David G Clark, L F Abbott

    bioRxiv : the preprint server for biology
    |September 2, 2025
    PubMed
    まとめ
    この要約は機械生成です。

    ニューロンとシナプスのダイナミクスを組み合わせることで 新しい作業記憶が生まれます この生物学的ニューラルネットワークモデルは 持続的な振動を示し 記憶や復元段階を明示せずに ダイナミックな記憶を可能にします

    さらに関連する動画

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    Inducing Long-Term Plasticity of Intrinsic Neuronal Excitability in Neurons of the Dorsal Lateral Geniculate Nucleus
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    関連する実験動画

    Last Updated: Sep 9, 2025

    Investigation of Synaptic Tagging/Capture and Cross-capture using Acute Hippocampal Slices from Rodents
    11:29

    Investigation of Synaptic Tagging/Capture and Cross-capture using Acute Hippocampal Slices from Rodents

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    3D Modeling of Dendritic Spines with Synaptic Plasticity
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    3D Modeling of Dendritic Spines with Synaptic Plasticity

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    Inducing Long-Term Plasticity of Intrinsic Neuronal Excitability in Neurons of the Dorsal Lateral Geniculate Nucleus
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    Inducing Long-Term Plasticity of Intrinsic Neuronal Excitability in Neurons of the Dorsal Lateral Geniculate Nucleus

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    科学分野:

    • 計算神経科学
    • 神経科学
    • 人工知能

    背景:

    • 生物学的神経回路は ニューロンとシナプスのダイナミクスとの 緊密な結合を示しています
    • この結合を理解することは 複雑なニューラル計算を解読するのに 極めて重要です
    • 既存のモデルはニューロンとシナプスのダイナミクスを別々に扱っている.

    研究 の 目的:

    • ニューロンとシナプスのダイナミクスの計算結果を調査する.
    • この組み合わせによって可能になった 新しい形の作業記憶を 示すためです
    • 持続的な神経振動の 根本的なメカニズムを解明する

    主な方法:

    • ヘッビアの可塑性を持つ再発性ニューラルネットワークモデルを使用した.
    • 神経ダイナミクスを誘導し,研究するために振動刺激を適用した.
    • 計算シミュレーションと分析方法の両方を採用しました.
    • コネクティビティマトリックスにおける複雑な偏微値自値の役割を分析した.

    主要な成果:

    • 振動的な入力を取り除いた後,持続的な神経振動が観察されました.
    • ニューロンとシナプスの相互作用を 特定した
    • この相互作用が複雑な偏微値の固有値につながることを示した.
    • 前定のダイナミクスで持続的な振動を成功させた.

    結論:

    • ニューロンとシナプスの 緊密な結合は 新しい形の 作業記憶を可能にします
    • 持続的な振動は,明示的な記憶/回収段階のないダイナミックなメモリメカニズムを表します.
    • このメカニズムは,ニューラルネットワークの接続マトリックス内の特定の相互作用に依存しています.
    • クープリングダイナミクスは 神経系での計算に 新たな可能性をもたらします