决策动态是由兴奋和未受指导的运动预测的
Daniel Hulsey1, Kevin Zumwalt1, Luca Mazzucato2
1Institute of Neuroscience, University of Oregon, Eugene, OR 97405, USA.
Cell reports
|January 27, 2024
概括
动物决策涉及不同的性能状态,即使有静态奖励. 不受指导的运动和兴奋预测了最佳的任务性能,这表明在小鼠的认知功能高峰期兴奋调节.
科学领域:
- 神经科学是一个神经科学.
- 动物行为 动物行为
- 计算机建模 计算建模
背景情况:
- 动物决策表现出动态的性能状态,尽管环境条件稳定.
- 影响这些业绩波动的因素仍然不太清楚.
- 运动和兴奋等外部可观测的措施是假设的预测因素.
研究的目的:
- 在小鼠中调查未受指导的行为,兴奋和任务执行状态之间的关系.
- 确定外部测量是否可以预测最佳和次优绩效之间的过渡.
主要方法:
- 从小鼠的视觉和听觉任务性能数据的计算建模.
- 隐藏的马尔科夫模型的应用来分析行为选择.
- 分析瞳孔直径和运动作为兴奋和参与的指标.
主要成果:
- 鼠标在不同的,持续数分钟的性能状态之间进行过渡:最佳,次最佳和脱节.
- 最佳表现时代与中间的兴奋水平和减少的运动可变性相关.
- 没有指导的动作和兴奋水平预测了最佳的决策状态.
结论:
- 外部可观测的行为,包括未经指示的动作和兴奋,是最佳任务执行的可靠预测因素.
- 在最佳表现期间,小鼠似乎积极调节它们的兴奋水平.
- 这些发现提供了关于动态决策的神经和行为基础的见解.
关键词:
科普:神经科学:神经科学是一门课.激发性兴奋 激发性兴奋听证会 听证会 听证会在决策过程中做出决定.监管 监管 监管 监管 监管 监管国家国家国家国家国家国家.视觉 视觉 视觉 视觉 视觉 是一个更多相关视频
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