どこに行けばいいの? コンボリューションニューラルネットワークを用いたシーンの処理と視覚空間記憶の相互作用のタイムラルニューラルダイナミクスの解読
Clément Naveilhan1,2, Raphaël Zory1,3,4, Stephen Ramanoël1,5,6
1Université Côte d'Azur, LAMHESS, Nice, France.
Journal of vision
|August 28, 2025
まとめ
新しく学習された空間情報は 視覚的特徴と文脈的知識を統合して 目標指向の行動に早期の脳反応を迅速に 影響する. これは航海費の処理方法に影響します
科学分野:
- 神経科学
- 認知心理学
- 計算神経科学
背景:
- 視覚的なシーンの知覚は,特徴と文脈を統合することによって,環境を迅速に解釈します.
- この統合は 目標に導かれた行動や 複雑な空間でのナビゲーションに 極めて重要です
研究 の 目的:
- シーンの知覚におけるボトムアップとトップダウン処理のタイムラルニューラルダイナミクスを調査する.
- 空間的な知識が,すぐにナビゲーションの能力のための初期の神経反応を調節するかどうかを判断する.
主な方法:
- 30人の参加者の脳波データを分析した.
- グラデント加重クラスアクティベーションマッピング (Grad-CAM) を用いたコンボリューションニューラルネットワーク (CNN)
- 操作されたナビゲーションアフォーダンスを含むシーンの記憶と視覚空間記憶のタスク.
主要な成果:
- 視覚的特徴と空間的記憶の 初期統合ウィンドウ (50〜250ミリ秒) を特定した.
- 空間学習の後に一般化できませんでした.
- 初期のシーンの知覚に空間的な知識の直接的な上から下への影響が示されています.
結論:
- シーナと視覚空間記憶情報は初期統合の窓を共有しています.
- 新しく獲得した空間的知識は,シーン知覚の初期の神経処理に直接上から下へと影響を及ぼします.
- これは 行動の誘導における 記憶と知覚のダイナミックな相互作用を 強調しています
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