Integrating Model-Based Approaches into a Neuroscience Curriculum-An Interdisciplinary Neuroscience Course in Engineering.
Integrating Model-Based Approaches into a Neuroscience Curriculum-An Interdisciplinary Neuroscience Course in Engineering.
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DOI：
10.1109/te.2018.2859411
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发表时间：
2019-03
影响因子：
2.6
通讯作者：
Nair, Satish S.
中科院分区：
文献类型：
--
作者：
Latimer, Benjamin;Bergin, David A.;Guntu, Vinay;Schulz, David J.;Nair, Satish S.
关键词：
本文演示了结合基于工程模型的方法的课程模块，包括与电路、系统、建模、电生理学、编程和软件教程相关的概念，以加强在本科神经科学课程中的学习。这些模块也可以整合到其他神经科学课程中。生物和物理科学的教育工作者敦促将计算和工程方法融入生物学。基于模型的方法可以提供对神经功能的见解；先前的研究表明，这些方法越来越多地被用于生物学研究。然而，关于将它们整合到本科神经科学课程中的报道很少。也缺乏合适的课程来满足工科学生对不断增长的神经科学领域挑战的兴趣。(1)改善学生在跨学科神经科学方面的学习；(2)加强神经科学教师的教学；(3)为本科生做好研究准备；以及(4)增加跨学科互动。一门跨学科的本科生神经科学课程，融合了计算和基于模型的方法，并包含软件和湿实验室组件，由工程、艺术和科学学院设计并联合授课。基于模型的内容改善了三个不同群体的神经科学学习：1)本科生；2)博士生；3)博士后研究人员和教职员工。此外，该软件在增强学生学习方面的重要性和实用性得到了所有这些团体的高度评价，这表明工程学在塑造神经科学课程方面发挥了关键作用。交叉培训的模式也有助于促进跨学科研究合作。
This paper demonstrates curricular modules that incorporate engineering model-based approaches, including concepts related to circuits, systems, modeling, electrophysiology, programming, and software tutorials that enhance learning in undergraduate neuroscience courses. These modules can also be integrated into other neuroscience courses. Educators in biological and physical sciences urge incorporation of computation and engineering approaches into biology. Model-based approaches can provide insights into neural function; prior studies show these are increasingly being used in research in biology. Reports about their integration in undergraduate neuroscience curricula, however, are scarce. There is also a lack of suitable courses to satisfy engineering students’ interest in the challenges in the growing area of neural sciences. (1) Improved student learning in interdisciplinary neuroscience; (2) enhanced teaching by neuroscience faculty; (3) research preparation of undergraduates; and 4) increased interdisciplinary interactions. An interdisciplinary undergraduate neuroscience course that incorporates computation and model-based approaches and has both software- and wet-lab components, was designed and co-taught by colleges of engineering and arts and science. Model-based content improved learning in neuroscience for three distinct groups: 1) undergraduates; 2) Ph.D. students; and 3) post-doctoral researchers and faculty. Moreover, the importance of the content and the utility of the software in enhancing student learning was rated highly by all these groups, suggesting a critical role for engineering in shaping the neuroscience curriculum. The model for cross-training also helped facilitate interdisciplinary research collaborations.
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影响因子：
3.7
作者：
Labov, Jay B.;Reid, Ann H.;Yamamoto, Keith R.
通讯作者：
Yamamoto, Keith R.
DOI：
10.1109/memb.2003.1237489
发表时间：
2003-07-01
影响因子：
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