行動期待と報酬の歴史が合わさるとき:抑制制御中の積極的および反動的コントロールの相互作用
Meng Zou1, Yongchun Wang1, Zhengqi Tang1
1School of Psychology, Shaanxi Normal University, Xi'an 710062, China; Shaanxi Provincial Key Laboratory of Behavior & Cognitive Neuroscience, Xi'an 710062, China.
Consciousness and cognition
|September 6, 2025
まとめ
認知制御は 積極的・反応的メカニズムを 柔軟に利用します 報酬の歴史は 学習方法に基づいた期待と異なる形で 抑制制御に影響し 適応行動を支援します
科学分野:
- 認知神経科学
- 行動心理学
- 神経経済学
背景:
- 目標に導かれた行動には 認知のコントロールが不可欠です
- 制御の二重メカニズム (DMC) モデルは,主動制御と反動制御を区別する.
- これらの制御メカニズム,特に抑制制御の間の相互作用を理解することは極めて重要ですが,依然として不明確です.
研究 の 目的:
- 抑制制御中のプロアクティブとリアクティブの相互作用を調査する.
- 異なる報酬学習の歴史が抑制制御にどのように影響するかを調べる.
- ダイナミックな環境における認知制御メカニズムの柔軟性を探求する.
主な方法:
- 2つの実験で,シュードとシュードのないGo/NoGoタスクを使用しました.
- 価値主導の注意喚起 (VDAC) と金銭的インセンティブの遅延タスク (MIDT) を採用して報酬トレーニングを行う.
- 報酬履歴と行動期待に基づいて,コミッションエラーと応答阻害を分析する.
主要な成果:
- 報酬の履歴は,MIDTを通じて学習された場合のみ,アクションの期待と相互作用し,以前に報酬を受けたNoGoのターゲットに対するエラーを減少させた.
- VDACによる報酬の歴史は,期待される作用とは独立して抑制に影響を与えました.
- 両方のパラダイムでは,報酬の歴史は一般的に反応抑制を促進しました.
結論:
- プロアクティブ・コントロールと リアクティブ・コントロールの相互作用は 柔軟で 文脈に依存しています
- 前回の報酬学習の性質は,反応的コントロールが抑制的コントロールをどのように調節するかを大きく左右する.
- この研究は 適応行動のための 過去の経験と現在の目標のバランスをとるための 洞察を提供します
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