Jove
Visualize
お問い合わせ
JoVE
x logofacebook logolinkedin logoyoutube logo
JoVEについて
概要リーダーシップブログJoVEヘルプセンター
著者向け
出版プロセス編集委員会範囲と方針査読よくある質問投稿
図書館員向け
推薦の声購読アクセスリソース図書館諮問委員会よくある質問
研究
JoVE JournalMethods CollectionsJoVE Encyclopedia of Experimentsアーカイブ
教育
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab Manual教員リソースセンター教員サイト
利用規約
プライバシーポリシー
ポリシー

関連する概念動画

Synaptic Signaling01:12

Synaptic Signaling

70.0K
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.
70.0K
The Synapse02:47

The Synapse

99.9K
Neurons communicate with one another by passing on their electrical signals to other neurons. A synapse is the location where two neurons meet to exchange signals. At the synapse, the neuron that sends the signal is called the presynaptic cell, while the neuron that receives the message is called the postsynaptic cell. Note that most neurons can be both presynaptic and postsynaptic, as they both transmit and receive information.
99.9K
Synaptic Signaling01:09

Synaptic Signaling

5.7K
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...
5.7K
The Role of Ion Channels in Neuronal Computation01:19

The Role of Ion Channels in Neuronal Computation

3.2K
A postsynaptic neuron usually receives numerous impulses from several other presynaptic neurons. The axon hillock of the postsynaptic neuron integrates all these signals and determines the likelihood of firing an action potential.
Sometimes a single EPSP is strong enough to induce an action potential in the postsynaptic neuron. However, multiple presynaptic inputs must often create EPSPs around the same time for the postsynaptic neuron to be sufficiently depolarized to fire an action potential....
3.2K
Chemical Synapses01:26

Chemical Synapses

9.5K
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...
9.5K
Integration of Synaptic Events01:28

Integration of Synaptic Events

6.4K
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...
6.4K

こちらも読む

関連記事

共著者、ジャーナル、引用グラフによってこの研究に関連する記事。

並び替え
Same author

Specialized outputs and behavioral contributions of Purkinje cell subtypes.

bioRxiv : the preprint server for biology·2026
Same author

Climbing fibres recruit disinhibition to enhance Purkinje cell calcium signals.

Nature·2026
Same author

Purkinje Cell Collaterals Preferentially Target a Subtype of Molecular Layer Interneuron.

The Journal of neuroscience : the official journal of the Society for Neuroscience·2026
Same author

Structural and functional evidence for ephaptic control of Purkinje cell spike timing by networks of molecular layer interneurons.

bioRxiv : the preprint server for biology·2026
Same author

Neuronal calcium spikes enable vector inversion in the Drosophila brain.

Cell·2025
Same author

Transfer of graded information through gated receptivity to widely broadcast signals.

bioRxiv : the preprint server for biology·2025
Same journal

Daily briefing: How cooperation built the world.

Nature·2026
Same journal

Deep-sea oddities and boatloads of other new species - June's best science images.

Nature·2026
Same journal

From cloning to gene-editing: the enduring legacy of Dolly the sheep.

Nature·2026
Same journal

Time to give hydration breaks the red card? What science says about keeping cool.

Nature·2026
Same journal

Universities are relying on AI-detection software to catch cheating. How well do the programs work?

Nature·2026
Same journal

Daily briefing: 'Cyborg' cockroaches breathe underwater with printed suit.

Nature·2026
関連記事をすべて見る

関連する実験動画

Updated: May 1, 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

11.1K

シナプス計算によるシナプス計算.

L F Abbott1, Wade G Regehr

  • 1Volen Center and Department of Biology, Brandeis University, Waltham, Massachusetts 02454-9110, USA. abbott@brandeis.edu

Nature
|October 16, 2004
PubMed
まとめ
この要約は機械生成です。

神経細胞だけでなく,シナプスは,多様な可塑性を通して情報を積極的に処理します. シナプス伝達におけるこれらの変化は,ニューロンが様々な信号を送信し,脳の計算,学習,記憶をサポートすることを可能にします.

さらに関連する動画

An Optical Assay for Synaptic Vesicle Recycling in Cultured Neurons Overexpressing Presynaptic Proteins
09:33

An Optical Assay for Synaptic Vesicle Recycling in Cultured Neurons Overexpressing Presynaptic Proteins

Published on: June 26, 2018

7.1K
Evaluation of Synaptic Multiplicity Using Whole-cell Patch-clamp Electrophysiology
10:52

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

Published on: April 23, 2019

12.8K

関連する実験動画

Last Updated: May 1, 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

11.1K
An Optical Assay for Synaptic Vesicle Recycling in Cultured Neurons Overexpressing Presynaptic Proteins
09:33

An Optical Assay for Synaptic Vesicle Recycling in Cultured Neurons Overexpressing Presynaptic Proteins

Published on: June 26, 2018

7.1K
Evaluation of Synaptic Multiplicity Using Whole-cell Patch-clamp Electrophysiology
10:52

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

Published on: April 23, 2019

12.8K

科学分野:

  • 神経科学は神経科学である.
  • 計算神経科学とは
  • シナプスの可塑性

背景:

  • ニューロンは伝統的に脳の計算単位と見なされています.
  • シナプスは被動的な情報伝達器と考えられていた.

研究 の 目的:

  • 情報処理におけるシナプスの積極的な役割を探求する.
  • 神経機能におけるシナプス可塑性の重要性を強調する.

主な方法:

  • 多様なシナプス性可塑性メカニズムの分析.
  • 短期および長期のシナプス変化の検査.

主要な成果:

  • シナプスの可塑性は,シナプスが活発な情報処理器であることを明らかにする.
  • 短期的な可塑性は,ニューラルコンピューティングをサポートします.
  • 長期的な可塑性は,学習と記憶の基礎を形成する.

結論:

  • シナプスは,脳の情報処理において,重要で活発な役割を果たします.
  • 単一のニューロンは,シナプス性可塑性によって多様な信号を伝達することができる.
  • シナプス性可塑性を理解することは,神経コンピューティング,学習,および記憶を理解するための鍵です.