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The Synapse02:47

The Synapse

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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.
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Mechanism of Breathing I: Inspiration01:30

Mechanism of Breathing I: Inspiration

3.3K
Introduction to Inspiration: The Respiratory System in Action
The respiratory system, an essential network for breathing, comprises the conducting and respiratory zones, each playing a crucial role in the overall process of respiration. Let us explore the detailed mechanism of inspiration, or inhalation, which is the first phase of the respiratory cycle.
Pathway of Air during Inspiration
During inspiration, air enters our body through the nose or mouth and moves through the conducting zone,...
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Electrical Synapses01:28

Electrical Synapses

11.0K
Electrical synapses found in all nervous systems play important and unique roles. In these synapses, the presynaptic and postsynaptic membranes are very close together (3.5 nm) and are actually physically connected by channel proteins forming gap junctions.
Gap junctions allow the current to pass directly from one cell to the next. In contrast, in the chemical synapse, the neurotransmitters carry the information through the synaptic cleft from one neuron to the next. They consist of two...
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Chemical Synapses01:26

Chemical Synapses

11.9K
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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Chemical Synapses01:26

Chemical Synapses

4.6K
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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Overview of Synapses01:25

Overview of Synapses

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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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Updated: Feb 14, 2026

Serial Two-Photon Tomography of the Whole Marmoset Brain for Neuroanatomical Analyses
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フォトン制御されたメモリシブシナプス:脳にインスパイアされたニューロモルフィックコンピューティングへの最近の進歩

Pradnya P Patil1, Tejas Dhanalaxmi Raju1, Kiran A Nirmal1

  • 1School of Electrical Engineering, Korea University, Seoul 02841, Republic of Korea. tdd.snst@unishivaji.ac.in.

Materials horizons
|February 13, 2026
PubMed
まとめ
この要約は機械生成です。

光学的に制御されたシナプスデバイスは,より速いコンピューティングのためのムーアの法則の限界を超えた経路を提供します. 研究は,次世代ハードウェアのためのそれらの材料,アーキテクチャ,および脳にインスパイアされたアプリケーションを探索します.

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科学分野:

  • フォトニクス フォトニクスとは
  • マテリアルサイエンス 材料科学
  • 神経科学は神経科学である.

背景:

  • ムーアの法則は物理的な限界に近づいており,新しいコンピューティングアーキテクチャが必要になっています.
  • フォトンを用いたフォトニック情報処理は,電子ベースのシステムに対する有望な代替案です.
  • 光学的に制御されたシナプスデバイスは,高密度低電力コンピューティングの重要なコンポーネントです.

研究 の 目的:

  • 光学的に制御されたシナプスデバイスの包括的な概要を提供するために.
  • フォトメモリ型のメカニズム,材料,デバイスアーキテクチャの進歩について議論する.
  • 脳にインスパイアされたコンピューティングとニューロモルフィックハードウェアのアプリケーションを強調するために.

主な方法:

  • 写真を記憶するメカニズムや材料の最近の進歩をレビューする.
  • 生物学的なシナプスを模倣する様々なデバイスアーキテクチャの分析.
  • シナプスエミュレーション戦略とパフォーマンスメトリックの探索.

主要な成果:

  • シナプスエミュレーションのために様々な材料とデバイス構成が調査されています.
  • 光学的に制御されたシナプスデバイスは,高い帯域幅,超高速応答,低遅延を示しています.
  • ニューロモルフィックハードウェアの大規模な配列への統合が追求されています.

結論:

  • 光学的に駆動されたシナプスデバイスは,次世代コンピューティングの大きな可能性を示しています.
  • 実践的なニューロモルフィックハードウェア実装のためにデバイスのパフォーマンスを向上させるという課題は依然として残っています.
  • 将来の研究は,限界を克服し,光学的に駆動されたシナプス技術の進歩に重点を置くべきである.