神经科学需要网络科学 神经科学需要网络科学
Dániel L Barabási1,2, Ginestra Bianconi3,4, Ed Bullmore5
1Biophysics Program, Harvard University, Cambridge, 02138, Massachusetts danielbarabasi@gmail.com Gyorgy.Buzsaki@nyulangone.org.
概括
网络科学为了解复杂的人类大脑提供了强大的工具. 这项研究探讨了将网络神经科学与大脑地图集结在一起,以研究神经发育,功能和疾病.
科学领域:
- 神经科学是一个神经科学.
- 网络科学 网络科学
- 计算神经科学是一种神经科学.
背景情况:
- 大脑的复杂性给理解它的结构,功能和动态带来了挑战.
- 网络科学为研究相互连接的系统和整合多尺度数据提供了一个框架.
- 网络方法有先进的功能性脑成像和控制理论应用.
研究的目的:
- 在大脑图谱时代讨论网络神经科学的新兴前沿.
- 为了解决整合各种数据流的挑战和机遇,以了解神经过渡.
- 促进网络科学和神经科学之间的跨学科合作.
主要方法:
- 利用网络科学原理来分析大脑数据.
- 整合功能成像和其他来源的多尺度数据.
- 应用控制理论来指导大脑活动.
主要成果:
- 网络方法已经显著提升了人类大脑的功能成像研究.
- 开发基于控制理论的用于指导大脑活动的应用程序.
- 识别神经过渡集成多个数据流的挑战和机遇.
结论:
- 整合网络科学和神经科学对于理解大脑发育,功能和疾病至关重要.
- 跨学科的倡议对于推进网络神经科学至关重要.
- 根据神经回路量身定制的基于网络的新方法将加深我们对大脑的理解.
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