在成本效益决策过程中,在前额皮层和基底质中对奖励,努力和选择进行多层次编码
Oliver Härmson1, Isaac Grennan2, Brook Perry2
1Medical Research Council Brain Network Dynamics Unit, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK; Department of Experimental Psychology, University of Oxford, Oxford, UK.
Cell reports
|January 23, 2025
概括
神经回路通过形成细胞组合来协调成本效益决策. 这些集合代表了奖励和努力等决策变量,显示了个体神经元如何协同工作以进行适应性价值导向选择.
科学领域:
- 神经科学是一个神经科学.
- 决策科学 决策科学 决策科学
- 计算神经科学是一种神经科学.
背景情况:
- 适应性决策包括评估成本和收益.
- 额叶皮层 - 基底质回路涉及到表示决策参数.
- 这些电路中神经信息的协调仍然不清楚.
研究的目的:
- 调查与决策相关的信息是如何在前额皮层-基底质回路之间协调的.
- 确定神经元组合是否以及如何代表价值导向决策变量.
主要方法:
- 在大鼠身上进行了大规模的单单元记录,遍及五个中枢/轨道前和基底腺节区域.
- 鼠决定以不同的努力成本追求奖励回报.
- 分析的重点是个体神经元编码和协同活性细胞组装活动.
主要成果:
- 在所有记录的区域中都发现了编码奖励,努力和选择的神经元.
- 在短时间窗口 (<25毫秒) 内重复协作激活的协作细胞组.
- 这些集合代表了决策变量,即使具有不同的单个神经元编码.
结论:
- 对于成本效益计算,存在一个多层次的编码结构.
- 单个神经元协调成更大的组件来表示任务变量.
- 细胞组可以独立于构成神经元的任务变量.
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