在复杂行为过程中大脑神经活动的全图
, Dora Angelaki1, Brandon Benson2
1New York University, New York, NY, USA.
Nature
|September 3, 2025
概括
神经科学家在做决策时绘制了小鼠大脑中神经活动的地图. 这一全面的数据集揭示了广泛的神经信号如何整合感官信息,选择和行为,
科学领域:
- 神经科学
- 计算神经科学
- 系统神经科学
背景情况:
- 了解不同大脑区域如何将感官信息与运动和决策的期望相结合是一个重大挑战.
- 不同实验室之间不一致的分析方法阻碍了神经科学研究的进步.
- 需要一个统一的,大规模的数据集来绘制大脑范围内的神经活动及其与行为的关系.
研究的目的:
- 使用大规模记录创建一个全面的大脑神经活动地图.
- 分析不同大脑区域的神经活动如何在决策任务中编码任务变量.
- 为了解大脑的计算和行为提供一个公开的资源.
主要方法:
- 在12个实验室的139只小鼠中使用699个神经像素探测器从621,733个神经元中获取大规模的神经记录.
- 从执行涉及感官,运动和认知过程的复杂决策任务的小鼠收集的数据.
- 调查包括前脑,中脑,后脑和小脑的279个区域.
主要成果:
- 视觉刺激的表现最初出现在视觉区域, 随后扩散到中脑和后脑区域, 编码选择.
- 几乎所有记录的脑部区域都与即将发生的运动相关.
- 在整个大脑中观察到对奖励交付和消费的神经反应,
结论:
- 这项研究提供了一个有价值的大脑范围的地图和决策过程中神经活动的分析.
- 与感官处理,选择,行动和奖励相关的神经计算分布在多个大脑区域.
- 这一公开的数据集是未来神经科学对大脑功能和行为研究的重要资源.
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