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A Series of Computational Neuroscience Labs Increases Comfort with MATLAB

机译:一系列计算神经科学实验室提高了使用MATLAB的舒适度

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摘要

Computational simulations allow for a low-cost, reliable means to demonstrate complex and often times inaccessible concepts to undergraduates. However, students without prior computer programming training may find working with code-based simulations to be intimidating and distracting. A series of computational neuroscience labs involving the Hodgkin-Huxley equations, an Integrate-and-Fire model, and a Hopfield Memory network were used in an undergraduate neuroscience laboratory component of an introductory level course. Using short focused surveys before and after each lab, student comfort levels were shown to increase drastically from a majority of students being uncomfortable or with neutral feelings about working in the MATLAB environment to a vast majority of students being comfortable working in the environment. Though change was reported within each lab, a series of labs was necessary in order to establish a lasting high level of comfort. Comfort working with code is important as a first step in acquiring computational skills that are required to address many questions within neuroscience.
机译:计算仿真提供了一种低成本,可靠的方法,向大学生展示复杂且时常无法访问的概念。但是,未经计算机编程培训的学生可能会发现基于代码的模拟工作令人生畏和分心。在入门级课程的大学生神经科学实验室部分中,使用了一系列涉及霍奇金-赫克斯利方程,积分与发射模型和Hopfield记忆网络的计算神经科学实验室。在每个实验室之前和之后进行简短的重点调查,结果表明,学生的舒适度从大多数不舒服或对MATLAB环境有中立感觉的学生急剧增加到绝大多数在环境中感到舒适的学生。尽管每个实验室都报告了更改,但是为了建立持久的高舒适度,有必要进行一系列实验室。舒适地使用代码很重要,这是获得解决神经科学中许多问题所需的计算技能的第一步。

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