在人类和小鼠中推断推理的基础是神经计算
Helen C Barron1, Hayley M Reeve2, Renée S Koolschijn3
1Medical Research Council Brain Network Dynamics Unit, Nuffield Department of Clinical Neurosciences, University of Oxford, Mansfield Road, Oxford OX1 3TH, UK; Wellcome Centre for Integrative Neuroimaging, University of Oxford, FMRIB, John Radcliffe Hospital, Oxford OX3 9DU, UK.
Cell
|September 18, 2020
概括
科学家们发现大脑如何通过连接事件来做出推断决策. 河马使用前性代码预测结果, 并为灵活的行为连接点.
科学领域:
- 神经科学
- 认知科学
- 计算神经科学
背景情况:
- 决策对于生存和适应至关重要.
- 根据新的选择和相关事件做出推断决策, 涉及多个大脑区域.
- 这些推断决策背后的神经计算在很大程度上是未知的.
研究的目的:
- 研究推断决策的功能解剖学和神经计算.
- 阐明大脑机制使我们能够预测新的选择.
主要方法:
- 一个多天的跨物种方法,使用人类和小鼠模型.
- 在成功推断和休息行为期间分析海马活动.
主要成果:
- 哺乳动物大脑使用海马前性代码来成功推断.
- 这个代码预测了时间结构化的学术协会.
- 在休息期间,海马的尖波/波会激活代表推断奖励关系的细胞,有效地连接未被观察到但有利的事件.
结论:
- 通过预测关联, 海马在推断决策中发挥着关键作用.
- 在尖的波浪/波中 hippocampal 细胞的协同激活有助于在事件之间"连接点",即使没有直接体验.
- 这种机制支持直接经验之外的认知地图的形成,
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