Frontoparietal Hubsは,認知の柔軟性を導くために,確率的表現と統合された不確実性を活用する
bioRxiv : the preprint server for biology
|September 5, 2025
まとめ
脳は 異なる神経領域を使って 内なる信念と 外的なシグナルを統合します フロントペリエタルハブは 脳の接続性を動的に調整することで 不確実性を解消し 柔軟な行動を可能にします
科学分野:
- 神経科学
- 認知科学
- 計算モデリング
背景:
- 適応的行動は 複数の情報源から 情報を統合することに 依存しています ストキャスティックで不確実な情報源です
- 騒々しい内部と外部情報を統合する神経と計算機のメカニズムは,ほとんど不明のままです.
研究 の 目的:
- 脳のシステムが 行動を導くために 内部で維持され 外部で誘導される ストキャスティック情報を統合する方法を 解明する
- 情報統合を分析するための計算神経イメージングフレームワークを導入する.
主な方法:
- 健康な成人の脳画像を集めました
- 試行錯誤による信念を推定し,共同確率分布に統合するための計算モデルを開発した.
- 共同分布のエントロピーを使用して信念,予測エラー,更新ダイナミクスを追跡する定量化された不確実性.
主要な成果:
- 異なる脳領域は,潜伏状態の信念 (前部中部前頭回,中背のタラムス,下側頭葉) と知覚の信念 (横側側頭側頭部部部部部部部部部部部部部部部部部部部部部部部部部部部部部部部部部部部部部部部部部部部部部部部部部部部部部部部部部部部部部部部部部部部部部部部部部) をコードする.
- 統合された情報とそのエントロピーは,フロントペリエタルハブ (中央のフロントジュース,イントラペリエタルシルカス) に収束した.
- エントロピーは,センサリー,モーター,プレモーター,および予測エラー回路で適応的に再構成された接続性です.
結論:
- フロントペリエタルハブは 柔軟な行動を導くために 分布された不確実性を統合し解決します
- この発見は,フロントペリエタルシステムが複数のノイズインプットの認知統合をどのように実装しているかを明らかにしています.
- 異なるニューラル集団は内部および外部情報をコードし,その後フロントペリエータネットワークによって統合されます.
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