确定在非静止感官决策过程中控制内部状态开关的因素
Zeinab Mohammadi1, Zoe C Ashwood2,3,
1Princeton Neuroscience Institute, Princeton University, Princeton, NJ, USA. zm6112@princeton.edu.
Nature communications
|November 28, 2025
概括
小鼠在不断变化的环境中通过内部状态来调整他们的决策策略. 过去的奖励信号转换到脱离状态,表明和影响适应性行为.
科学领域:
- 神经科学是一个神经科学.
- 计算生物学 计算生物学
- 行为科学 行为科学
背景情况:
- 传统的感知决策模型在非静止环境中与动态战略转移作斗争.
- 推动这些战略转换的根本因素尚不清楚.
研究的目的:
- 开发和验证一个先进的内部状态模型,用于在动态环境中进行感知决策.
- 为了确定影响策略切换和小鼠状态转换的因素.
主要方法:
- 开发了一个与通用线性模型 (GLM) 集成的隐藏马尔科夫模型 (HMM).
- 使用伯努利GLM用于状态和刺激依赖的选择,以及多项GLM用于输入依赖的状态转换.
- 应用该模型来分析来自小鼠在非静止决策任务中的广泛行为数据.
主要成果:
- 一个四态模型准确地描述了小鼠的行为,区分了参与 (低偏差) 和不参与 (高偏差) 状态.
- 鼠标采用了适合刺激的偏差策略,并利用先前的概率来维持不参与状态中的表现.
- 过去的选择和刺激预测了偏见状态之间的过渡,而过去的奖励预测了过渡到脱离状态的过渡,可能与和有关.
结论:
- 该模型揭示了小鼠的复杂适应策略,将行为,环境输入和状态转换联系起来.
- 过去的奖励预测了脱离,这表明适应性战略转变的腹驱动机制.
- 这项工作为理解复杂环境中的动态决策和适应性策略提供了一个框架.
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