前頭葉ニューロンによる声のアイデンティティの不変性
Margherita Giamundo1,2, Régis Trapeau1, Etienne Thoret1,2
1Institut de Neurosciences de la Timone, UMR 7289, CNRS, Aix-Marseille Université, Marseille 13005, France.
Science advances
|August 29, 2025
まとめ
マカクの前側側頭葉 (ATL) のニューロンは声のアイデンティティを動的に表現し,霊長類は声の違いにもかかわらず個人を認識することができます. このニューラル・コーディングは 重要な社会的相互作用をサポートします
科学分野:
- 神経科学
- 霊長類学
- 聴覚的知覚
背景:
- 霊長類の社会的なやり取りは 声の違いにもかかわらず 声で個人を認識することに大きく依存しています
- 前頭葉 (ATL) は聴覚情報と顔認識を処理することが知られているが,抽象的な声のアイデンティティの表現におけるその役割は不明である.
研究 の 目的:
- マカクの声選択前頭葉 (ATL) のニューロンが,呼び出し者のアイデンティティの抽象的表現をコードしているかどうかを調査する.
- 霊長類における不変の声の認識の基礎となる神経機構を理解する.
主な方法:
- 2匹のマカカのATLから 聴覚知覚のタスクで記録された神経活動
- ニューロン集団のダイナミクスを分析し,同じ個体と異なる個体の異なる発声における声のアイデンティティの表現を特定しました.
主要な成果:
- マカクのATLのニューロンは,動的集団レベルのコーディングを通じて,不変の声のアイデンティティ表現をサポートすることを実証した.
- ニューラル表現は同じ個体からの発声の距離を最小限に抑えながら 異なる発声者の軌道を保持することが観察されました
- より広範なニューロンの集合が この構造に寄与する一方で 極めて選択的なニューロンの小さなサブセットが 重要なアイデンティティ情報を 持っていたことを確認した.
結論:
- 霊長類の声の認識のための神経基盤を提供し,ATLの役割を強調しました.
- ATLは,知覚的な声の特徴を,より高いレベルの抽象的なアイデンティティ表現に統合することを確立しました.
- 音声のアイデンティティのような複雑な社会的ヒントの不変な表現を達成する際の ダイナミックな人口コーディングの重要性を強調した.
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