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

Ampere-Maxwell's Law: Problem-Solving01:17

Ampere-Maxwell's Law: Problem-Solving

795
A parallel-plate capacitor with capacitance C, whose plates have area A and separation distance d, is connected to a resistor R and a battery of voltage V. The current starts to flow at t = 0. What is the displacement current between the capacitor plates at time t? From the properties of the capacitor, what is the corresponding real current?
To solve the problem, we can use the equations from the analysis of an RC circuit and Maxwell's version of Ampère's law.
For the first part of...
795
Introduction to Cognitive Psychology01:20

Introduction to Cognitive Psychology

1.3K
Cognitive psychology is the field of psychology dedicated to examining how people think. It attempts to explain how and why we think the way we do by studying the interactions among human thinking, emotion, creativity, language, and problem-solving, as well as other cognitive processes. Cognitive psychology studies how information is processed and manipulated in remembering, thinking, and knowing.
This field emerged in the mid-20th century, following a period dominated by behaviorism, which...
1.3K
Neural Circuits01:25

Neural Circuits

1.7K
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...
1.7K
Storage01:23

Storage

142
A schema is a mental framework that helps individuals organize and interpret information. Schemata, formed from previous experiences, influence how we process new information: how we encode it, the inferences we make, and how we retrieve it. For instance, a schema for what a typical classroom looks like might include desks, a teacher's desk, a whiteboard, and students in such an environment. This expectation helps us quickly understand and navigate new classrooms without needing to analyze...
142
Ampere's Law: Problem-Solving01:31

Ampere's Law: Problem-Solving

3.7K
Ampere's law states that for any closed looped path, the line integral of the magnetic field along the path equals the vacuum permeability times the current enclosed in the loop. If the fingers of the right hand curl along the direction of the integration path, the current in the direction of the thumb is considered positive. The current opposite to the thumb direction is considered negative.
Specific steps need to be considered while calculating the symmetric magnetic field distribution...
3.7K
Machines01:19

Machines

353
Machines are complex structures consisting of movable, pin-connected multi-force members that work together to transmit forces. One example of a machine is the cutting plier, which is used to cut wires by applying forces to its handles. When equal and opposite forces are exerted on the handles of the cutting plier, they cause the cutting edges to come together and apply equal and opposite reaction forces on the wire, which are greater than the applied forces.
A free-body diagram of the...
353

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

The Role of Hydrogen in ReRAM.

Advanced materials (Deerfield Beach, Fla.)·2024
Same author

Hardware implementation of memristor-based artificial neural networks.

Nature communications·2024
Same author

Thin-film design of amorphous hafnium oxide nanocomposites enabling strong interfacial resistive switching uniformity.

Science advances·2023
Same author

Nonideality-Aware Training for Accurate and Robust Low-Power Memristive Neural Networks.

Advanced science (Weinheim, Baden-Wurttemberg, Germany)·2022
Same author

Committee machines-a universal method to deal with non-idealities in memristor-based neural networks.

Nature communications·2020
Same author

Silicon Oxide (SiO<sub>x</sub> ): A Promising Material for Resistance Switching?

Advanced materials (Deerfield Beach, Fla.)·2018

関連する実験動画

Updated: Sep 27, 2025

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit
05:30

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit

Published on: September 8, 2023

673

脳にインスパイアされたコンピューティングには マスタープランが必要です

A Mehonic1, A J Kenyon2

  • 1Department of Electronic and Electrical Engineering, UCL, London, UK. adnan.mehonic.09@ucl.ac.uk.

Nature
|April 14, 2022
PubMed
まとめ
この要約は機械生成です。

脳にインスパイアされたコンピューティングは エネルギー効率の良いデータ処理を提供します その可能性を実現するには 過去のデジタル技術や 現在の量子技術イニシアチブと同様に 研究者を団結させ 必要な支援を提供するための 協調的な計画が必要です

さらに関連する動画

Design, Surface Treatment, Cellular Plating, and Culturing of Modular Neuronal Networks Composed of Functionally Inter-connected Circuits
10:32

Design, Surface Treatment, Cellular Plating, and Culturing of Modular Neuronal Networks Composed of Functionally Inter-connected Circuits

Published on: April 15, 2015

8.6K
Closed-loop Neuro-robotic Experiments to Test Computational Properties of Neuronal Networks
11:18

Closed-loop Neuro-robotic Experiments to Test Computational Properties of Neuronal Networks

Published on: March 2, 2015

10.5K

関連する実験動画

Last Updated: Sep 27, 2025

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit
05:30

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit

Published on: September 8, 2023

673
Design, Surface Treatment, Cellular Plating, and Culturing of Modular Neuronal Networks Composed of Functionally Inter-connected Circuits
10:32

Design, Surface Treatment, Cellular Plating, and Culturing of Modular Neuronal Networks Composed of Functionally Inter-connected Circuits

Published on: April 15, 2015

8.6K
Closed-loop Neuro-robotic Experiments to Test Computational Properties of Neuronal Networks
11:18

Closed-loop Neuro-robotic Experiments to Test Computational Properties of Neuronal Networks

Published on: March 2, 2015

10.5K

科学分野:

  • ニューロモルフィックコンピューティングと人工知能
  • 先進的な情報処理技術

背景:

  • 現在のデータ生成は急速に増加しており,構造化されていない騒々しいデータセットが特徴です.
  • 既存のコンピューティング パラダイムは,エネルギー効率と複雑なデータ処理の限界に直面しています.
  • 脳にインスパイアされたコンピューティングは これらの課題に取り組むための新しいアプローチを提示します

研究 の 目的:

  • エネルギー効率の良い情報処理の 可能性を示します
  • 脳にインスパイアされたコンピューティングのための 協調的な研究と資金調達戦略を提唱します
  • デジタル・量子技術の成功例と並べてみる

主な方法:

  • 新興コンピューティング パラダイムの概念分析
  • 過去の技術開発戦略のレビュー
  • デジタル,量子,脳にインスパイアされたコンピューティングの比較評価.

主要な成果:

  • 脳にインスパイアされたコンピューティングは エネルギー効率の有意な進歩を約束します
  • これらの技術は,大量の非構造化および騒々しいデータを処理するのに適しています.
  • デジタル・量子コンピューティングにおける 過去の成功は 協調的な開発の実現可能性を 示しています

結論:

  • 脳にインスパイアされたコンピューティングの 可能性を完全に開き放つには 協調的で協力的な努力が不可欠です
  • 戦略的計画と資源配分は この分野を前進させる上で 極めて重要です
  • 脳にインスパイアされたコンピューティングは コンピューティング技術の次の境界を表しています