前叶神经元的声音身份不变
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
概括
前叶 (ATL) 中的神经元动态地代表声音身份,使灵长类能够识别个体,尽管声音的变化. 这种神经编码支持基本的社会交互.
科学领域:
- 神经科学
- 灵长类动物
- 听觉感知
背景情况:
- 灵长类的社会交互很大程度上依赖于通过声音识别个体,
- 前叶 (ATL) 已知用于处理听觉信息和面部识别,但其在抽象语音身份表示中的作用尚不清楚.
研究的目的:
- 调查的声音选择前叶 (ATL) 中的神经元是否编码呼叫者身份的抽象表示.
- 了解灵长类中不变语音身份识别背后的神经机制.
主要方法:
- 在听觉感知任务中记录了两只的ATL神经活动.
- 分析了神经元群体动态,以识别来自相同和不同个体的不同声调的声音身份表示.
主要成果:
- 证明ATL中的神经元通过动态人口级编码支持不变的语音身份表示.
- 观察到神经表达最小化了来自同一个个体的发声距离,同时保持了不同呼叫者的不同轨迹.
- 发现虽然更广泛的神经元组合为这种结构做出了贡献,但高度选择性神经元的小部分携带了重要的身份信息.
结论:
- 在灵长类动物中提供了语音识别的神经基础,强调了ATL的作用.
- 确定ATL将感知语音特征整合到更高层次的抽象身份表示中.
- 强调动态人口编码在实现复杂社会线索如语音身份的不变表示的重要性.
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