COMPUTATIONAL NEUROSCIENCE: FROM SINGLE CELLS TO WHOLE BRAIN MODELS
Theory and application of methods in computational neuroscience across various levels of organization from single cells to global brain dynamics and cognition. Computational neuroscience is an approach to understanding the development and function of nervous systems in mechanistic terms at many different structural scales. Topics include biophysical properties of neurons and synapses, neural plasticity, sensory systems, neural circuits, whole brain analysis and modeling, and different views on brain function. Includes primers on relevant computational techniques (ICA, information theoretical approaches, dynamical systems) and a computational problem set. Starts with an introduction to MATLAB (used for problem sets).
未报告
未报告
Cumulative Grade Distribution
按评分排序,数据来自 Rate My Professors
相似课程
按评分排序,数据来自 Rate My Professors
未找到教师。
课程先修和相关课程的可视化展示。
注意:我们并未显示所有可能的先修关系,仅显示与该课程直接相关的部分。
加载图表中...
该课程暂无课程安排信息。