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一门基于代数的带实验的计算神经科学入门课程。

An Algebra-Based Introductory Computational Neuroscience Course with Lab.

作者信息

Fink Christian G

机构信息

Neuroscience Program, Ohio Wesleyan University, Delaware, OH 43015.

出版信息

J Undergrad Neurosci Educ. 2017 Jun 15;15(2):A117-A121. eCollection 2017 Spring.

Abstract

A course in computational neuroscience has been developed at Ohio Wesleyan University which requires no previous experience with calculus or computer programming, and which exposes students to theoretical models of neural information processing and techniques for analyzing neural data. The exploration of theoretical models of neural processes is conducted in the classroom portion of the course, while data analysis techniques are covered in lab. Students learn to program in MATLAB and are offered the opportunity to conclude the course with a final project in which they explore a topic of their choice within computational neuroscience. Results from a questionnaire administered at the beginning and end of the course indicate significant gains in student facility with core concepts in computational neuroscience, as well as with analysis techniques applied to neural data.

摘要

俄亥俄卫斯理大学开设了一门计算神经科学课程,该课程不要求学生有微积分或计算机编程的前期经验,而是让学生接触神经信息处理的理论模型以及分析神经数据的技术。对神经过程理论模型的探索在课程的课堂部分进行,而数据分析技术则在实验室中讲授。学生学习使用MATLAB进行编程,并有机会在课程结束时完成一个最终项目,在该项目中他们可以在计算神经科学领域探索自己选择的主题。在课程开始和结束时进行的问卷调查结果表明,学生在计算神经科学核心概念以及应用于神经数据的分析技术方面的能力有了显著提高。

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