通过稀疏的反来控制大脑网络的内部控制.
Ilias Mitrai1, Victoria O Jones1, Harman Dewantoro1
1Department of Chemical Engineering and Materials Science, University of Minnesota, Minneapolis, Minnesota, USA.
概括
这项研究将人类大脑模型作为一个动态系统. 研究结果表明,一小部分高度连接的大脑区域可能对神经电路控制,平衡性能和通信成本至关重要.
科学领域:
- 神经科学是一个神经科学.
- 系统生物学 系统生物学
- 控制理论 控制理论
背景情况:
- 人类大脑的复杂功能依赖于在多个尺度上的神经相互作用.
- 解剖学和能量约束塑造了这些相互作用,使信息处理用于认知任务.
研究的目的:
- 模拟大脑作为一个闭环动态系统在稀疏的反控制下.
- 研究神经网络中控制性能和通信成本之间的权衡.
主要方法:
- 开发了一个控制器设计,优化了性能和反 (通信) 成本.
- 应用了这个框架来分析结构和功能大脑网络.
主要成果:
- 在高反成本下,控制仅限于少数高度连接的网络节点.
- 这表明特定大脑区域在整体神经控制中可能发挥着中心作用.
结论:
- 一小部分的大脑区域可能对控制神经回路至关重要.
- 这种控制是通过在绩效要求和沟通费用之间取得平衡来实现的.
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