Gilbert Terri L
GilHou Science Communication, Seattle, WA, 98106.
J Undergrad Neurosci Educ. 2018 Sep 15;16(3):A261-A267. eCollection 2018 Summer.
The open science movement has resulted in a growing field of data- and tool-sharing platforms that serve as a resource not only for sharing data and results in the field of brain science but has allowed students and researchers to learn neuroscientific skills and concepts. For over a decade, the Allen Institute for Brain Science has been meticulously collecting high quality data mapping gene expression, connectivity and, more recently, functional data from the brains of mice, macaques and humans. These open data have been paired with unique navigation and visualization tools such that the neuroscience researcher can explore, utilize and even incorporate these data into their publications. The tools created to explore and analyze the Allen Brain Atlas datasets have also been widely utilized to teach neuroscientific concepts to undergraduate and graduate students. This article aims to outline how to use the Allen Brain Atlas resources as teaching tools to impart neuroanatomic concepts to undergraduate and graduate neuroscience students.
开放科学运动催生了一个不断发展的数据和工具共享平台领域,这些平台不仅是脑科学领域数据和研究成果共享的资源,还让学生和研究人员能够学习神经科学技能和概念。十多年来,艾伦脑科学研究所一直在精心收集高质量数据,绘制基因表达、连接性图谱,最近还包括来自小鼠、猕猴和人类大脑的功能数据。这些开放数据与独特的导航和可视化工具相结合,使神经科学研究人员能够探索、利用甚至将这些数据纳入他们的出版物中。为探索和分析艾伦脑图谱数据集而创建的工具也被广泛用于向本科生和研究生传授神经科学概念。本文旨在概述如何将艾伦脑图谱资源用作教学工具,向本科和研究生阶段的神经科学学生传授神经解剖学概念。