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関連する概念動画

Synaptic Signaling01:12

Synaptic Signaling

Neurons communicate at synapses, or junctions, to excite or inhibit the activity of other neurons or target cells, such as muscles. Synapses may be chemical or electrical.
Long-term Potentiation01:35

Long-term Potentiation

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.
Synaptic Signaling01:09

Synaptic Signaling

Neurons communicate at synapses, or junctions, to excite or inhibit the activity of other neurons or target cells, such as muscles. Synapses may be chemical or electrical.
Most synapses are chemical, meaning an electrical impulse or action potential spurs the release of chemical messengers called neurotransmitters. The neuron sending the signal is called the presynaptic neuron, and the neuron receiving the signal is the postsynaptic neuron.
The presynaptic neuron fires an action potential that...
Long-term Potentiation01:25

Long-term Potentiation

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 presynaptic neurons...
Neural Circuits01:25

Neural Circuits

Neural circuits and neuronal pools are two of the main structures found in the nervous system. Neural circuits are networks of neurons that work together to carry out a specific task or process. They consist of interconnected neurons and glial cells, which provide structural and metabolic support.
Neuronal pools are collections of nerve cells with similar functions and interact through chemical and electrical signals. These pools include both interneurons (the central neural circuit nodes that...
Neuroplasticity01:01

Neuroplasticity

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.

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Updated: May 12, 2026

Real-time Electrophysiology: Using Closed-loop Protocols to Probe Neuronal Dynamics and Beyond
08:08

Real-time Electrophysiology: Using Closed-loop Protocols to Probe Neuronal Dynamics and Beyond

Published on: June 24, 2015

ピラミッド型のニューロンデンドライトにおける局所動的シナプス学習規則

Christopher D Harvey1, Karel Svoboda

  • 1Janelia Farm Research Campus, HHMI, Ashburn, Virginia 20147, USA.

Nature
|December 22, 2007
PubMed
まとめ
この要約は機械生成です。

個々のシナプスにおける長期増強 (LTP) は,隣接するシナプスにおける可塑性の値を下げます. ヒポカンプスのこのクラスター化された可塑性は,ニューラルネットワークにおける記憶結合をサポートする可能性がある.

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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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Ballistic Labeling of Pyramidal Neurons in Brain Slices and in Primary Cell Culture
09:40

Ballistic Labeling of Pyramidal Neurons in Brain Slices and in Primary Cell Culture

Published on: April 2, 2020

関連する実験動画

Last Updated: May 12, 2026

Real-time Electrophysiology: Using Closed-loop Protocols to Probe Neuronal Dynamics and Beyond
08:08

Real-time Electrophysiology: Using Closed-loop Protocols to Probe Neuronal Dynamics and Beyond

Published on: June 24, 2015

3D Modeling of Dendritic Spines with Synaptic Plasticity
07:13

3D Modeling of Dendritic Spines with Synaptic Plasticity

Published on: May 18, 2020

Ballistic Labeling of Pyramidal Neurons in Brain Slices and in Primary Cell Culture
09:40

Ballistic Labeling of Pyramidal Neurons in Brain Slices and in Primary Cell Culture

Published on: April 2, 2020

科学分野:

  • 神経科学は神経科学である.
  • シナプスの可塑性
  • 記憶の研究 記憶の研究

背景:

  • 長期増強 (LTP) は,学習と記憶に不可欠です.
  • LTPは典型的には入力特異であるが,ニューラルモデルは近隣のシナプス間の相互作用を示唆している.

研究 の 目的:

  • ネズミの海馬ピラミッド細胞の隣接シナプスにおける可塑性の相互作用を調査する.
  • 1つのシナプスのLTPが隣接するシナプスのLTP誘導に影響するかどうかを判断する.

主な方法:

  • 2フォトンのグルタミン酸解鎖またはシナプス刺激を使用して,入力特異のLTPを誘導する.
  • LTP誘導後の近隣の脊椎にスリーホールド以下の刺激を適用する.
  • シナプス増強と脊髄拡大の測定.
  • デンドリット系近隣におけるピークタイミング依存のLTP間隔の分析.

主要な成果:

  • 個々のシナプスのLTPは,隣接するシナプスの増強値を下げました.
  • サブスリーフレベル刺激は,初期LTPの後,隣接する脊椎で堅固なLTPと脊椎拡大を誘発した.
  • LTP誘導は,ピークタイミング依存のLTPの有効時間枠を広げました.
  • この効果は約10分続き,約10マイクロメートルのデンドライトに広がった.

結論:

  • 隣接するシナプスの間の局所的な相互作用は,クラスター化された可塑性を促進します.
  • この現象は,協調されたシナプス変化を含むメモリストレージのモデルをサポートしています.
  • クラスター化された可塑性は, dendritic 枝内の行動的に関連する情報の結合を可能にすることができます.