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

Higher Mental Functions of the Brain: Language01:10

Higher Mental Functions of the Brain: Language

3.9K
Language is a system of communication that allows the expression of thoughts, ideas, and feelings. The brain processes language in both hemispheres.
Language formation and comprehension take place in the dominant hemisphere. The dominant hemisphere is responsible for understanding the meaning of spoken, written, or sign language, as well as the ability to communicate. For most people, the left hemisphere is the dominant one. The right hemisphere, then, gives tone and emotional context to the...
3.9K
Language and Cognition01:27

Language and Cognition

829
Language serves as a bridge between ideas and communication, influencing how individuals perceive and interact with the world. Psychologists have long debated whether language shapes thought or vice versa. This discussion gained grip with Edward Sapir and Benjamin Lee Whorf in the 1940s, who proposed that language determines thought, a concept known as linguistic determinism. They suggested that the vocabulary and structure of a language influence how its speakers think and perceive reality.
829
Language Development01:22

Language Development

963
Children master language quickly and with relative ease, supported by both biological predisposition and reinforcement. B. F. Skinner (1957) proposed that language is learned through reinforcement, while Noam Chomsky (1965) argued that language acquisition mechanisms are biologically determined.
The critical period for language acquisition suggests that the ability to acquire language is at its peak early in life. As people age, this proficiency decreases. Language development begins very...
963
Language01:16

Language

924
Language is a unique communication system that uses words and systematic rules to organize and transmit information. Unlike other forms of communication, which may involve postures, movements, odors, or vocalizations, language relies on symbols and grammar. This makes human communication distinct from that of other species, who also communicate but do not use language in the same way humans do.
Corballis and Suddendorf (2007) and Tomasello and Rakoczy (2003) highlight the role of language in...
924
Components of Language01:24

Components of Language

837
Language, whether spoken, signed, or written, consists of specific components: lexicon and grammar. The lexicon is the vocabulary of a language, comprising its words. Grammar is the set of rules used to convey meaning through the lexicon. For example, English grammar adds “-ed” to most verbs to indicate past tense. Words are formed by combining phonemes, which are the basic sound units of a language. Different languages have different sets of phonemes (e.g., “ah” vs.
837
Neural Circuits01:25

Neural Circuits

2.9K
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...
2.9K

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

Palladium-catalyzed olefination and arylation of 2-substituted 1,2,3-triazole N-oxides.

Organic letters·2013
Same author

One-stop hybrid coronary revascularization versus coronary artery bypass grafting and percutaneous coronary intervention for the treatment of multivessel coronary artery disease: 3-year follow-up results from a single institution.

Journal of the American College of Cardiology·2013
Same author

Relative contributions of the thalamus and the paraventricular nucleus of the hypothalamus to the cardiac sympathetic afferent reflex.

American journal of physiology. Regulatory, integrative and comparative physiology·2013
Same author

Initial light soaking treatment enables hole transport material to outperform spiro-OMeTAD in solid-state dye-sensitized solar cells.

Journal of the American Chemical Society·2013
Same author

The rice GERMINATION DEFECTIVE 1, encoding a B3 domain transcriptional repressor, regulates seed germination and seedling development by integrating GA and carbohydrate metabolism.

The Plant journal : for cell and molecular biology·2013
Same author

Salvage intensity modulated radiotherapy using endorectal balloon after radical prostatectomy: clinical outcomes.

International journal of urology : official journal of the Japanese Urological Association·2013
Same journal

Post-Moore two-dimensional integrated electronics for angstrom-nodes.

National science review·2026
Same journal

A multienzyme-mimicking nanoplatform induces disulfidptosis/cuproptosis/apoptosis for tumor therapy.

National science review·2026
Same journal

Nanogalvanic cell catalysts: bridging electrochemical and thermal catalysis.

National science review·2026
Same journal

Temporal genomics reveal rapid adaptation to pesticide exposure in Eastern honeybees.

National science review·2026
Same journal

Making reservoirs cleaner through a Pattern-Process-Effect-Regulation framework.

National science review·2026
Same journal

Occupancy as a key attribute linking saprotrophic fungi to soil carbon decomposition.

National science review·2026
関連記事をすべて見る

関連する実験動画

Updated: Feb 17, 2026

Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness
03:14

Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness

Published on: December 6, 2024

1.2K

ニューロモルフィック・スパイクベースの大型言語モデル

Han Xu1,2,3, Xuerui Qiu1,4,5, Yunhui Xu6

  • 1Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China.

National science review
|February 16, 2026
PubMed
まとめ
この要約は機械生成です。

この研究は,統合された神経形状のスパイクベースの大型言語モデル (NSLLM) フレームワークを導入し,エネルギー消費を大幅に削減し,解釈性を向上させます. NSLLMフレームワークは,大型言語モデル (LLM) を効率的で解釈可能なニューラルダイナミクスに変換し,よりグリーンなAIへの道を開きます.

キーワード:
インターディシピナリの神経科学です.ニューロモルフィックコンピューティングスパイクベースのLLMです.線形的な注意をピークする.

さらに関連する動画

A Simple Stimulatory Device for Evoking Point-like Tactile Stimuli: A Searchlight for LFP to Spike Transitions
07:34

A Simple Stimulatory Device for Evoking Point-like Tactile Stimuli: A Searchlight for LFP to Spike Transitions

Published on: March 25, 2014

10.3K
Decoding Natural Behavior from Neuroethological Embedding
08:00

Decoding Natural Behavior from Neuroethological Embedding

Published on: October 3, 2025

735

関連する実験動画

Last Updated: Feb 17, 2026

Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness
03:14

Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness

Published on: December 6, 2024

1.2K
A Simple Stimulatory Device for Evoking Point-like Tactile Stimuli: A Searchlight for LFP to Spike Transitions
07:34

A Simple Stimulatory Device for Evoking Point-like Tactile Stimuli: A Searchlight for LFP to Spike Transitions

Published on: March 25, 2014

10.3K
Decoding Natural Behavior from Neuroethological Embedding
08:00

Decoding Natural Behavior from Neuroethological Embedding

Published on: October 3, 2025

735

科学分野:

  • ニューロモルフィックエンジニアリング
  • コンピューティング神経科学
  • 人工知能 (AI) とは,人工知能 (AI) のことです.

背景:

  • 大言語モデル (LLM) は,エネルギー消費が高く,解釈能力が限られているという課題に直面しています.
  • 現在のLLMアーキテクチャは計算が密集しており,生物学的妥当性がない.

研究 の 目的:

  • 統合されたニューロモルフィック・スパイクベースの大型言語モデル (NSLLM) フレームワークを提案する.
  • エネルギー効率とLLMの解釈性を同時に向上させる.
  • 新しい神経科学の観点からLLMを提案する.

主な方法:

  • 数学的なモデリング,定量化,散散化を使用してLLMをNSLLMに変換する.
  • LLMの行動をスパイク・トレインのようなニューラル・ダイナミクスに変換する.
  • ハードウェア・アルゴリズム共同設計パラダイムを活用し,FPGA上のカスタムMatMulフリーハードウェアコアを搭載する.
  • 情報のエンコーディングを分析するために,コンピューティング神経科学のツールを活用する.

主要な成果:

  • 1.5億パラメータのNSLLMで,動的電力消費13.849Wと推論スループット161.8トークン/秒を達成しました.
  • A800 GPUと比較して,エネルギー効率 (19.8%),メモリ使用量 (21.3%),推論スループット (2.2倍) の有意な改善が示されました.
  • NSLLMのハードウェアコアでマトリックス掛け算 (MatMul) を成功裏に排除しました.

結論:

  • NSLLMのフレームワークは,LLMのエネルギー効率と解釈性を高めるための統一されたアプローチを提供します.
  • LLMをニューラル集団として概念化すると,計算神経科学を通して理解が向上します.
  • この発見は,将来の大型モデル用のニューロモルフィックチップを設計するための貴重な洞察を提供します.