任务结构量身定制了人体侧面前额皮层中神经表示的几何结构
Apoorva Bhandari1, Haley Keglovits1, Defne Buyukyazgan2
1Department of Cognitive and Psychological Sciences, Brown University, 190 Thayer St., Providence, RI 02912, USA.
bioRxiv : the preprint server for biology
|March 18, 2024
概括
人类的大脑是人类的大脑.
科学领域:
- 认知神经科学 认知神经科学
- 神经成像是一种神经成像.
- 计算神经科学是一种神经科学.
背景情况:
- 侧面前额叶皮质 (lPFC) 对于灵活的任务表达至关重要.
- 了解控制lPFC表示几何学的原则是认知神经科学的关键.
- 任务结构显著影响神经表达.
研究的目的:
- 为了研究大脑的侧面前额叶皮质 (lPFC) 如何编码信息,以执行具有不同结构的任务.
- 揭示在lPFC中构建代表几何学的原理,跨越不同复杂性的任务.
主要方法:
- 功能磁共振成像 (fMRI) 用于测量大脑活动.
- 使用模式分析来解码神经表征.
- 参与者执行了两个不同的分类任务:一个是平面的,一个是层次的.
主要成果:
- lPFC使用定制的中间维度几何形状编码与任务相关的信息.
- 代表几何学增强了与任务相关的变量和信息的抽象子集的分离性.
- 在平面任务中,全球轴抽象类别;在层次任务中,全球轴抽象上下文.
结论:
- 根据任务需求,lPFC可以动态调整其表示几何.
- 这些发现揭示了认知灵活性神经表征的概括原则.
- 特定任务的几何结构优化了横向前额叶皮层的信息处理.
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