在小鼠决策过程中,先前信息的全大脑表示
Charles Findling1, Felix Hubert2,
1University of Geneva, Geneva, Switzerland. charles.findling@internationalbrainlab.org.
Nature
|September 3, 2025
概括
鼠标估计并使用先前的概率来改进决策. 这种主观的先前信息在大脑中被广泛编码,从感觉到运动区域,表明分布式贝叶斯推理.
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:
- 对先前信息的神经表现的理解还不够好.
- 预先的信息会影响决策,但其大脑范围内的编码是不清楚的.
研究的目的:
- 为了研究先前概率的神经编码.
- 为了确定主观先前表示的全脑分布.
主要方法:
- 利用大规模的神经像素记录和从小鼠获得的广场成像.
- 训练有素的小鼠在一个任务中交替进行视觉刺激的先前概率 (0.2和0.8).
- 在决策过程中,分析了大脑各个区域的神经活动.
主要成果:
- 小鼠成功估计并利用变化的先前概率来提高决策准确性.
- 主观的先验被编码在大脑区域的很大一部分 (20-30%).
- 广泛的编码跨越了感觉 (LGN,V1),运动 (M1,M2) 和高层皮质区域 (dACC,vLOFC).
结论:
- 大脑广泛代表主观的先前信息,与分布式贝叶斯推理模型相一致.
- 预先编码不仅限于决策领域,而且存在于多个处理级别.
- 大规模的神经记录为大脑范围内的先前编码机制提供了关键的见解.
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