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関連する概念動画

Neuroplasticity01:01

Neuroplasticity

762
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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Plasticity00:58

Plasticity

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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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Chemical Synapses01:26

Chemical Synapses

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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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Electrical Synapses01:28

Electrical Synapses

8.9K
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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Long-term Potentiation01:25

Long-term Potentiation

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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...
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Ligand-Gated Ion Channel Receptor: Gating Mechanism01:30

Ligand-Gated Ion Channel Receptor: Gating Mechanism

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Ligand-gated ion channels are transmembrane proteins that play a vital role in intercellular communication and functions of the nervous system. They allow the influx of ions across the membrane once the neurotransmitter binds, allowing the subsequent transmission of electrical excitation across the neurons. Other ligand-gated ion channels, like the γ-aminobutyric acid (GABA) receptor, permit anions like chloride into the cells on the binding of the GABA molecule. Their entry into the cell...
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Assembly and Characterization of Biomolecular Memristors Consisting of Ion Channel-doped Lipid Membranes
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構成可能なシナプス可塑性を持つイオノエラストマーシナプス

Sijie Zheng1, Zhong-Da Zhang2, Xiaowei Wang1

  • 1Jiangsu Engineering Laboratory of Novel Functional Polymeric Materials, Jiangsu Key Laboratory of Advanced Negative Carbon Technologies, College of Chemistry, Suzhou Key Laboratory of Soft Material and New Energy, College of Chemistry, Chemical Engineering and Materials Science, Soochow University, Suzhou, 215123, China.

Advanced materials (Deerfield Beach, Fla.)
|August 21, 2025
PubMed
まとめ

研究者はイオノエラストマーと半導体ポリマーを使って 新しい人工シナプスを開発しました アニオン選択はシナプス可塑性を調整し 画像認識のような高精度ニューラルネットワークのタスクを 少数の状態で可能にします

キーワード:
人工シナプス柔軟な電子機器イオンエラストマーメモリスト

さらに関連する動画

Inducing Plasticity of Astrocytic Receptors by Manipulation of Neuronal Firing Rates
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科学分野:

  • 材料科学
  • 神経科学
  • オーガニック電子

背景:

  • 人工シナプスは 神経型コンピューティングシステムの開発に不可欠です
  • 既存の人工シナプスはしばしば可塑性調節とエネルギー効率の課題に直面します.
  • 有機的ヘテロ構造は新しいシナプス機能の可能性を秘めています

研究 の 目的:

  • イオノエラストマーと半導体ポリマーに基づく新種の人工シナプスを導入する.
  • アニオン種がシナプス可塑性を調節する役割を調査する.
  • 認識のタスクのためのソフトニューラルネットワークのエミュレーションにおけるこれらの人工シナプスの適用を実証する.

主な方法:

  • イオノエラストーマーと半導体ポリマーからなる有機ヘテロ構造の製造.
  • 電気的刺激に反応するアニオンの空間的再分配によるシナプス重量の調節.
  • 手書きの数字とファッション画像認識のタスクにおけるデバイスの性能の評価.

主要な成果:

  • イオノエラストマーシナプスは,アニオン選択によって制御される調整可能なシナプス可塑性を示した.
  • 装置は継続的にプログラム可能で 揮発性のない状態を示した.
  • 理想的なモデルに匹敵するソフトニューラルネットワークをエミュレートすることで,高い認識精度が達成されましたが,それはわずか16の離散状態です.

結論:

  • イオノエラストマーベースの有機ヘテロ構造は,人工シナプスの有望な新しいプラットフォームを表しています.
  • アニオン選択は,シナプス可塑性を調節するためのシンプルで効果的な方法を提供します.
  • これらの人工シナプスは 効率的で正確な 神経型コンピューティングの応用の可能性を示しています