一个状网状的代码与认知地图一起旋转,但落后于快速的行为转移
Linda Q Yu1, Avinash Rao Vaidya2, Aigerim Aya Akhmetzhanova1,3
1Carney Institute for Brain Sciences, Brown University, Providence, Rhode Island.
bioRxiv : the preprint server for biology
|November 24, 2025
概括
神经网络代码有助于将知识泛化,但它们在上下文转移中的动态尚不清楚. 当状网格代码旋转时,其他大脑区域驱动快速的知识传输和适应.
科学领域:
- 神经科学是一个神经科学.
- 认知科学 认知科学
- 计算神经科学是一种神经科学.
背景情况:
- 神经网络代码的理论是为了实现关系知识的概括和转移以进行行为适应.
- 了解格子表示在上下文转换期间如何变化,以及它们与行为的联系是有限的.
研究的目的:
- 为了调查神经网络表示是否在上下文转换期间旋转以与行为目标保持一致.
- 确定这些轮换是否支持知识转移和快速行为适应.
主要方法:
- fMRI用于测量人类参与者的神经表征.
- 参与者执行了一项任务,该任务涉及在未发出信号的状态变化时,目标位置的突然同步旋转.
- 对行为表现和神经活动进行了分析,与上下文转换相关.
主要成果:
- 参与者在状态变化后,能够快速推断目标位置,包括新的目标位置,这表明零射击转移.
- 在右侧后壁皮质皮质中观察到一种类似于网格的认知代码,其相角与目标位置旋转.
- 观察到的状网格代码的旋转太慢,无法解释快速的行为改善;这些与前状和轨道前皮层活动有关.
结论:
- 人类表现出快速知识转移的能力,在新的情况下适应行为.
- 一个状网状的代码确实会旋转成行为相关的,但它在快速适应中的作用是可疑的.
- 除了状网代码旋转之外的替代神经机制可能支持快速的知识传输和行为适应.
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