視覚ニューロンにモデルユニットをマッピングすると,社会行動の集団コードが明らかになる
Benjamin R Cowley1,2, Adam J Calhoun3, Nivedita Rangarajan3
1Princeton Neuroscience Institute, Princeton University, Princeton, NJ, USA. cowley@cshl.edu.
Nature
|May 22, 2024
まとめ
研究者は新しいAIモデルを開発し 神経活動を動物の行動にマッピングしました 訓練中のニューロン障害をシミュレートすることで 果物ハエの社会的相互作用を 駆動する複雑な集団コードを発見しました
科学分野:
- 神経科学
- コンピュータ生物学
- 動物 の 行動
背景:
- 動物の行動は 感覚処理と運動制御から生まれます
- 行動に対する神経の貢献をモデル化することは 感覚運動の変容を理解するために重要です
研究 の 目的:
- 内部のニューラルネットワークユニットを実際のニューロンにマッピングするための新しいモデリングアプローチを開発する.
- ニューロンの乱れによる 行動の変化を予測する
- ドロソフィラ・メラノガスターの雄の 視覚的に誘導された社会的行動における 感覚運動の変容をモデル化するためです
主な方法:
- "ノックアウトトレーニング"を導入し,訓練中に深い神経ネットワークを混乱させ,実際の神経障害を模倣しました.
- 複雑な社会行動をする ドロソフィラの雄にモデルを適用した.
- 特定の神経細胞の種類と 行動における役割を特定した.
主要な成果:
- 内部ネットワークユニットと実際のニューロン間の1対1マッピングを特定しました.
- 以前の研究と違って 視覚投影ニューロンの組み合わせが 男性の社会的なやり取りを 駆り立てるのです
- 非社会的行動にニューロンが関与する 豊かな集団コードが 女性の相互作用を 駆り立てていることが分かりました
結論:
- このフレームワークは ニューラル障害による行動効果を 統一モデルに統合しています
- 刺激から神経細胞のタイプから行動のマップを提供します.
- 脳の配線図をモデルに統合する
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