噪音神经元群体有效地编码在清醒小鼠的背部下部结囊中的声音局部化
Juan Carlos Boffi1,2, Brice Bathellier3, Hiroki Asari2
1Cell Biology and Biophysics Unit, European Molecular Biology Laboratory, Heidelberg, Germany.
eLife
|November 25, 2024
概括
下层结核 (DCIC) 的背皮质使用人口代码编码声音位置,即使有神经元噪声. 噪声相关性有助于最大限度地减少编码错误,类似于下层结合体 (CNIC) 的中心核.
科学领域:
- 神经科学是一个神经科学.
- 审计系统研究 审计系统研究
- 计算神经科学是一种神经科学.
背景情况:
- 声音局部化主要研究在下结核 (CNIC) 的中心核中,依靠人口代码.
- 在声音定位和单一试验编码中,下皮质的背皮质 (DCIC) 的作用仍然未得到充分探索,尽管它与可塑性相关.
研究的目的:
- 用大规模神经记录来研究DCIC中单次试验的声音位置编码.
- 描述神经元噪声和噪声相关性在DCIC声音定位中的作用.
- 将DCIC编码机制与CNIC中的编码机制进行比较.
主要方法:
- 从清醒的小鼠中DCIC种群的同时大规模记录使用双光子成像 (~700个细胞) 和高密度单单元细胞外记录 (~20个细胞).
- 来自13个不同的正面水平位置 (azimuths) 的声音的呈现.
- 对人口反应的解码分析,以确定单次试验的声音位置准确性.
主要成果:
- 在被动倾听过程中,DCIC群体的反应显示出显著的试验对试验变化 (神经元噪声) 和神经元对之间的相关噪声.
- 解码分析证实,这些噪音响应在一次性试验基础上准确地编码了声音位置,其错误与小鼠的辨别能力相当.
- 发现噪声相关性可以最大限度地降低DCIC群体代码对声音近视线的误差.
结论:
- 与CNIC一样,DCIC使用人口代码来确定声音的位置.
- 神经元噪声和噪声相关性在DCIC内精确的单试声本地化中发挥着至关重要的作用.
- 这些发现表明,在较低的colliculus亚区域中保留了编码原理,并为研究可塑性对听觉编码的影响开辟了道路.
关键词:
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