将习惯和目标与变化的贝叶斯和贝叶斯结合起来
Dongqi Han1, Kenji Doya2, Dongsheng Li3
1Microsoft Research Asia, Shanghai, 200232, China. dongqihan@microsoft.com.
Nature communications
|May 25, 2024
概括
这项研究提出了一个统一的贝叶斯框架来理解大脑如何整合习惯和目标导向的行为. 它使用变量贝叶斯理论建模意图,解释了感觉运动任务中观察到的相互作用.
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.
- 认知科学 认知科学
背景情况:
- 生物和人造物质需要高效和灵活的行为.
- 行为通常被分为快速/不灵活 (习惯性) 或缓慢/灵活 (目标导向).
- 新出现的证据表明,习惯性和目标导向系统之间存在复杂的相互作用,挑战不同的系统模型.
研究的目的:
- 引入一个理论框架,统一习惯和目标导向的行为.
- 用变量贝叶斯理论和贝叶斯意图变量来建模这些行为之间的相互作用.
- 通过计算模拟来解释行为相互作用的实验观测.
主要方法:
- 基于变量贝叶斯理论的理论框架的开发.
- 纳入贝叶斯意图变量来表示行为状态.
- 基于视觉的感觉运动任务的模拟,以测试框架的预测.
主要成果:
- 习惯性行为是通过先前的意图分布来建模的,它是从感官上下文中衍生出来的.
- 目标导向行为是通过后置意图分布建模的,通过变量自由能量最小化得到的.
- 该框架成功地解释了实验中观察到的习惯性和目标导向性行为之间的关键相互作用特性.
结论:
- 拟议的框架提供了一个关于习惯和目标背后的神经机制的新视角.
- 它提出了一种统一的方法来理解决策过程.
- 这项工作为未来研究不同行为控制系统的整合提供了基础.
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