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

Signal Sequences and Sorting Receptors01:41

Signal Sequences and Sorting Receptors

Signal sequences are short amino acid sequences that guide newly synthesized proteins to their proper location within the cell. Classical signal sequences are fifteen to sixty amino acids long and present at the N-terminus of a polypeptide chain. Each signal sequence has a conserved segment of basic residues towards their N terminus, a hydrophobic core, and a C-terminus rich in polar residues. The C-terminus also contains a signal cleavage site and features a -3 -1 sequence motif. The -3-1...
Classification of Signals01:30

Classification of Signals

In signal processing, signals are classified based on various characteristics: continuous-time versus discrete-time, periodic versus aperiodic, analog versus digital, and causal versus noncausal. Each category highlights distinct properties crucial for understanding and manipulating signals.
A continuous-time signal holds a value at every instant in time, representing information seamlessly. In contrast, a discrete-time signal holds values only at specific moments, often denoted as x(n), where...
Even and Odd Signals01:17

Even and Odd Signals

An even signal, whether in continuous-time or discrete-time, is defined by its symmetry with its time-reversed version. Mathematically, this is represented as
Multi-input and Multi-variable systems01:22

Multi-input and Multi-variable systems

Cruise control systems in cars are designed as multi-input systems to maintain a driver's desired speed while compensating for external disturbances such as changes in terrain. The block diagram for a cruise control system typically includes two main inputs: the desired speed set by the driver and any external disturbances, such as the incline of the road. By adjusting the engine throttle, the system maintains the vehicle's speed as close to the desired value as possible.
In the absence of...
Receiver Operating Characteristic Plot01:15

Receiver Operating Characteristic Plot

A ROC (Receiver Operating Characteristic) plot is a graphical tool used to assess the performance of a binary classification model by illustrating the trade-off between sensitivity (true positive rate) and specificity (false positive rate). By plotting sensitivity against 1 - specificity across various threshold settings, the ROC curve shows how well the model distinguishes between classes, with a curve closer to the top-left corner indicating a more accurate model. The area under the ROC curve...
Behavioral Genetics and Its Designs01:23

Behavioral Genetics and Its Designs

Behavior genetics explores how genetic inheritance influences human behavior. It focuses on how genes, passed from parents to offspring, contribute to the development of behavioral traits and tendencies. This branch of genetics seeks to understand the complex interplay between inherited genetic factors and environmental influences in shaping our behaviors.
The primary methodologies used in behavior genetics include family studies, twin studies, and adoption studies, each providing unique...

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

Augmented State-Space Modeling and Control of Latent Arousal States Under Inhibitory and Excitatory Conditions.

IEEE open journal of engineering in medicine and biology·2026
Same author

Cognitive arousal-based measures quantify insights from self-ratings in response to sensory stimuli.

PLOS mental health·2026
Same author

A leptin-based Bayesian inference of a pro-satiety state reflects a basal circadian rhythm in women with obesity.

Frontiers in endocrinology·2025
Same author

Decoding a Hidden Energy State Based on Marked Point Process Cortisol Secretory Events During Cardiac Surgery.

2024 IEEE International Conference on E-health Networking, Application & Services (HealthCom)·2025
Same author

Tracking inflammation status for improving patient prognosis: A review of current methods, unmet clinical needs and opportunities.

Biotechnology advances·2025
Same author

Decoding a Cognitive Performance State From Behavioral Data in the Presence of Auditory Stimuli.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society·2024

関連する実験動画

Updated: Jun 17, 2026

Assessing the Multiple Dimensions of Engagement to Characterize Learning: A Neurophysiological Perspective
13:57

Assessing the Multiple Dimensions of Engagement to Characterize Learning: A Neurophysiological Perspective

Published on: July 1, 2015

1つの連続観察と2つのバイナリ観測から興奮とパフォーマンスの同時推定のためのデコーダー設計.

Saman Khazaei, Jingyang Gong, Rose T Faghih

    IEEE transactions on bio-medical engineering
    |February 19, 2026
    PubMed
    まとめ

    私たちは,興奮とパフォーマンスを同時に追跡する新しいデコーダーを開発し,Yerkes-Dodson法によって予測されたように,それらの非線形関係を明らかにしました. これはパーソナライズされた介入設計を進める.

    科学分野:

    • 認知神経科学とは
    • コンピュータサイキアトリーの精神医学
    • 人とコンピュータの相互作用です.

    背景:

    • 人間の認知機能は,潜在的興奮状態とパフォーマンス状態に依存しています.
    • Yerkes-Dodson法則は,興奮とパフォーマンスの間の反転-U関係を示しています.
    • 既存のデコーダーは,これらの状態を独立して分析し,それらの相互作用を見逃しています.

    研究 の 目的:

    • 同時期の興奮とパフォーマンス (CAP) 状態の解読のための新しい解読器を開発する.
    • 興奮状態とパフォーマンス状態の非線形相互作用をモデル化するために.
    • シミュレーションおよび実験データを用いてデコーダーを検証する.

    主な方法:

    • 同時に解読するためにベイジアン状態空間フレームワークが使用されました.
    • バイナリデータ (応答の正しさ,覚醒イベント) と連続データ (反応時間) が使用されました.
    • このフレームワークは,シミュレートされたデータと,さまざまな刺激 (音楽,香り,コーヒー) を伴うメモリタスクのヒト参加者に対してテストされました.

    主要な成果:

    • CAPの解読器は,反転四次元の興奮-パフォーマンスのリンクを正確に反映し,Yerkes-Dodson法則を支持しました.

    さらに関連する動画

    A Cross-Disciplinary and Multi-Modal Experimental Design for Studying Near-Real-Time Authentic Examination Experiences
    08:33

    A Cross-Disciplinary and Multi-Modal Experimental Design for Studying Near-Real-Time Authentic Examination Experiences

    Published on: September 4, 2019

    P300-Based Brain-Computer Interface Speller Performance Estimation with Classifier-Based Latency Estimation
    06:09

    P300-Based Brain-Computer Interface Speller Performance Estimation with Classifier-Based Latency Estimation

    Published on: September 8, 2023

    関連する実験動画

    Last Updated: Jun 17, 2026

    Assessing the Multiple Dimensions of Engagement to Characterize Learning: A Neurophysiological Perspective
    13:57

    Assessing the Multiple Dimensions of Engagement to Characterize Learning: A Neurophysiological Perspective

    Published on: July 1, 2015

    A Cross-Disciplinary and Multi-Modal Experimental Design for Studying Near-Real-Time Authentic Examination Experiences
    08:33

    A Cross-Disciplinary and Multi-Modal Experimental Design for Studying Near-Real-Time Authentic Examination Experiences

    Published on: September 4, 2019

    P300-Based Brain-Computer Interface Speller Performance Estimation with Classifier-Based Latency Estimation
    06:09

    P300-Based Brain-Computer Interface Speller Performance Estimation with Classifier-Based Latency Estimation

    Published on: September 8, 2023

  • 解読された興奮は,刺激的な音楽の間にピークに達し,パフォーマンスはタスクの難易度と一致しました.
  • 新しいデコーダーは,興奮-パフォーマンスのダイナミクスを捉える上で以前の方法よりも優れたパフォーマンスを発揮しました.

    • 結論:

    • 開発されたフレームワークは,隠された覚醒状態とパフォーマンス状態,およびそれらの関係を確実に解読します.
    • この研究は,認知状態に基づく安全でパーソナライズされた介入の設計における進歩を可能にします.