ネオコルテックスにおけるネットワークUP状態のアトラクターダイナミクス
Rosa Cossart1, Dmitriy Aronov, Rafael Yuste
1Department of Biological Sciences, Columbia University, New York, New York 10027, USA. rcossart@biology.columbia.edu
Nature
|May 16, 2003
まとめ
研究者はマウスの視覚皮質で"皮質閃光"と呼ばれる同期神経ネットワークイベントを発見しました. ニューロン集合におけるこれらの調整されたUP状態の移行は,回路アトラクターを表し,潜在的にメモリとコンピューティングを支える可能性があります.
科学分野:
- 神経科学は神経科学である.
- コンピューティング神経科学
- システム神経科学 システム神経科学
背景:
- 脳皮質は,伝統的に,連続した段階を経て,感覚のインプットを処理します.
- 皮質回路は,絶え間ない自発的な活動と,フィードバックループを含む複雑な相互接続を示します.
- ニューロンの膜ポテンシャルは,潜在的にネットワーク全体で調整されたDOWNとUP状態の間に自発的に変動します.
研究 の 目的:
- マウスの視覚皮質における自発的な神経活動のダイナミクスを調査する.
- 同期したUP州移行の性質と組織を特徴づける.
- 情報処理のためのこれらのネットワークダイナミクスの機能的影響を探求する.
主な方法:
- 2フォトンカルシウム画像を用いて,自発的な活動を監視した.
- 皮質のスライスで最大1400個の個々のニューロンの動態を再構築しました.
- 同期UP状態移行の時空パターンを分析した.
主要な成果:
- 空間的に組織されたニューロン集合の中で"皮質フラッシュ"と呼ばれる同期したUP状態の移行を観察した.
- これらのイベントには,小さなニューロン集団が関与し,ステレオタイプ化された時空力学が示されました.
- 自発的な活動パターンは,感覚的インプットなしにさえも,協調されたニューロングループの活動を反映します.
結論:
- ネットワークUP状態は,回路アトラクターとして機能し,フィードバックニューラルネットワークの新興特性である.
- これらのアトラクタは,メモリ状態を実装したり,複雑な計算問題を解いたりします.
- 皮質フラッシュは,自発的なネットワークの組織と機能の根本的なメカニズムを表しています.
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