在前运动皮层中选择的动力学和几何学
Mikhail Genkin1, Krishna V Shenoy2,3, Chandramouli Chandrasekaran4,5,6
1Cold Spring Harbor Laboratory, Cold Spring Harbor, NY.
bioRxiv : the preprint server for biology
|August 7, 2023
概括
这项研究表明,灵长类前运动皮质使用一种共同的几何原理来编码感官信息和动态认知变量,如决策. 这一发现提升了我们对神经群体编码的理解.
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.
- 认知神经科学 认知神经科学
背景情况:
- 神经群体通过协调活动和单个神经元调曲线编码感官信息.
- 目前尚不清楚类似的人口编码原则是否适用于动态认知变量,这些变量在单个试验中独特地展开.
研究的目的:
- 调查是否存在种群代码,用于灵长类前运动皮层中选择形成的动态.
- 开发一种方法,同时推断人口动态和单个神经元调功能相对于人口状态.
主要方法:
- 开发了一种新的方法,从神经数据中推断出人口动态和单个神经元调功能.
- 在决策任务期间,将模型应用于从灵长类前运动皮层记录的数据.
主要成果:
- 确定了一个动态变量预测前运动皮质选择的种群代码.
- 证明异质的神经发射速率源于单个神经元对这个决策变量进行不同的调.
- 推断出的人口动态表明,决定计算的基础是吸引力机制.
结论:
- 神经群体使用一个共同的几何原理来编码感官和动态认知变量.
- 这一发现为理解大脑中神经表示提供了一个统一的框架.
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