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COMPUTATIONAL NEUROSCIENCE: FROM SINGLE CELLS TO WHOLE BRAIN MODELS

NEURODPT/NTP 640
课程描述

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).

先修课程
满足要求

This course does not satisfy any prerequisites.

学分

未报告

开课时间

未报告

平均绩点
3.79

-0.71% 相比历史数据

完成率
97.06%

-0.57% 相比历史数据

A率
88.24%

0.16% 相比历史数据

班级规模
34

61.9% 相比历史数据

Cumulative Grade Distribution

教师 (2026 Summr)

按评分排序,数据来自 Rate My Professors

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