系统神经科学

  • 网络system neuroscience
系统神经科学系统神经科学
  1. 因为脑的复杂性,定量方法在系统神经科学研究中的作用日益重要。

    Because of the complexity of the brain , quantitative approaches have played an essential role in systems neuroscience research .

  2. 系统神经科学是分子神经科学和认知神经科学之间的桥梁,是现代生物学的重要学科。

    Systems neuroscience is at the core of biological sciences and serves as a bridge between molecular neuroscience and cognitive neuroscience .

  3. 本课程将着重介绍系统神经科学研究的前沿,包括实验技术、数据分析和计算工具以及该领域的最新发现。

    The objective of this short course is to introduce the frontiers in systems neuroscience , from experimental and computational techniques to newest discoveries in this field .

  4. 系统神经科学的研究目标是在细胞和网络的层次上理解脑的结构和功能以及行为和认知的神经基础。

    Systems neuroscience aims to understand structures and functions of the brain at the level of single and populations of neurons and the neural basis of behavior and cognition .

  5. 神经生物物理学是研究最复杂系统一神经系统的科学,是21世纪最热门的科学领域之一。

    Neural biophysics is a subject to study the most complex system : nerve system including the brain , and it become one of the most pop field in 21 century .