在灵长类前额叶皮层中混合的反复连接性
Evangelos Sigalas1, Camilo Libedinsky1
1National University of Singapore, Singapore, Singapore.
PLoS computational biology
|March 11, 2025
概括
研究人员使用一种新的间接方法估计了灵长类前额叶皮层连接性. 他们在前额眼野和后侧前额皮质中发现了不同的连接百分比,这表明了不同的功能角色.
科学领域:
- 神经科学是一个神经科学.
- 计算神经科学是一种神经科学.
- 系统神经科学 系统神经科学
背景情况:
- 神经网络的功能是由连接性决定的,包括输入和反复连接.
- 灵长类动物侧面前额皮层中详细的反复连接在很大程度上是未被描述的.
- 神经活动中的噪音相关性可以提供对网络连接的见解.
研究的目的:
- 开发一种间接方法来估计灵长类前额叶皮层中的反复连接性.
- 量化和比较背侧前额皮质和前额眼界的连接性.
- 推断不同连接模式的功能影响.
主要方法:
- 开发了一种间接估计方法,利用相互连接的单元的高噪声相关性.
- 训练有素的循环神经网络模型,具有不同的撞击吸引器连接和噪音水平.
- 将模型噪声的相关性与灵长类动物的背侧前额皮质和前额眼界的实证数据相匹配.
主要成果:
- 具有大约20%撞击吸引器连接的模型匹配了正面眼场噪声相关性.
- 具有约7.5%撞击吸引器连接率的模型与背侧前额叶皮层噪声相关性相匹配.
- 确定了两个前额区域的独特连接配置文件.
结论:
- 不同百分比的撞击吸引器连接可能是前额头区域中不同功能角色的基础.
- 与更高维度表示相关的较低连接率可能支持前部区域的抽象神经表示.
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