人类大脑皮层中的概率性工作记忆表示指导行为
Ying Zhou1,2, Clayton E Curtis2, Daryl Fougnie1
1Division of Science and Mathematics, New York University Abu Dhabi.
bioRxiv : the preprint server for biology
|December 3, 2025
概括
工作记忆模型在如何存储信息方面有所不同. 这项研究表明,个人记忆是丰富的,编码为反映不确定性的概率分布,与神经数据保持一致并预测行为.
科学领域:
- 认知神经科学 认知神经科学
- 计算神经科学是一种神经科学.
- 神经成像是一种神经成像.
背景情况:
- 工作记忆模型提出了不同的记忆架构.
- 信息分散模型将记忆视为点估计.
- 信息丰富的模型将记忆编码为反映不确定性的概率分布.
研究的目的:
- 区分信息稀疏和信息丰富的工作记忆模型.
- 研究大脑中个体记忆的表示格式.
- 将记忆的神经表示与行为预测联系起来.
主要方法:
- 参与者执行了运动方向回忆任务与代报告.
- 从参与者的反应中构建了记忆的概率分布.
- 解码的神经概率分布从功能磁共振成像 (fMRI) 数据的头后和头顶皮层.
主要成果:
- 在单个试验中,行为记忆分布的形状 (例如,不对称性) 反映了神经分布.
- 脑后和脑皮层的神经表现编码的不仅仅是记住的特征.
- 神经分布的差异 (宽度,不对称性) 预测记忆行为.
结论:
- 这些发现支持工作记忆的信息丰富模型.
- 个体记忆的神经表现非常丰富,并对不确定性进行编码.
- 记忆的不确定性,反映在神经分布形状,是行为相关的.
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