ヒポキャンプスの抽象的な学習知識の幾何学

Edward H Nieh¹, Manuel Schottdorf¹, Nicolas W Freeman¹

¹Princeton Neuroscience Institute, Princeton University, Princeton, NJ, USA.

Nature

|June 17, 2021

まとめ

ネズミの海馬の神経細胞は空間的な位置と蓄積された証拠を共同でコードしますこれは統合された幾何学的な表現を生み出しヒポカムスが学習した知識の低次元地図を形成することを示唆しています

科学分野:

神経科学
認知科学

背景:

海馬の神経細胞は空間のような物理的変数を暗号化することが知られています
機能的磁気共鳴画像 (fMRI) 研究によると人間の海馬は抽象的な学習された変数もコード化しています
これらの物理的および抽象的変数の統合は神経表現の中で不明のままである.

研究の目的:

個々の海馬の神経細胞が物理的,抽象的変数を共同でコードする方法を調査する.
ヒポカンプスが空間情報を抽象的な学習変数と統合するかどうかを判断する.

主な方法:

仮想現実の意思決定のタスクを実行するマウスで2フォトンのカルシウムイメージングを使用しました.
ニューラル集団の活動を分析するために非線形次元縮小技術を適用した.

主要な成果:

個々の脊椎海馬の神経細胞は蓄積された証拠と空間的位置を共同でコードします
ニューラル集団の活動は低次元多様体 (4〜6の潜在変数) に制限されます.
物理的変数と抽象的変数はこの低次元空間内で秩序ある幾何学的な方法でマッピングされマウスの間で一貫性を示しています

結論:

統合された認知マップを作り物理的・抽象的な情報を統合します
これは,学習された知識の幾何学的な表現のために,タスク特有の低次元多様体を生成する一般的な海馬の計算を示唆しています.

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