ABSTRACT
The 2019 Society for Neuroscience Professional Development Workshop on Teaching reviewed current tools, approaches, and examples for teaching computation in neuroscience. Robert Kass described the statistical foundations that students need to properly analyze data. Pascal Wallisch compared MATLAB and Python as programming languages for teaching students. Adrienne Fairhall discussed computational methods, training opportunities, and curricular considerations. Walt Babiec provided a view from the trenches on practical aspects of teaching computational neuroscience. Mathew Abrams concluded the session with an overview of resources for teaching and learning computational modeling in neuroscience.
ABSTRACT
As part of a series of workshops on teaching neuroscience at the Society for Neuroscience annual meetings, William Grisham and Richard Olivo organized the 2016 workshop on "Teaching Neuroscience with Big Data." This article presents a summary of that workshop. Speakers provided overviews of open datasets that could be used in teaching undergraduate courses. These included resources that already appear in educational settings, including the Allen Brain Atlas (presented by Joshua Brumberg and Terri Gilbert), and the Mouse Brain Library and GeneNetwork (presented by Robert Williams). Other resources, such as NeuroData (presented by William R. Gray Roncal), and OpenFMRI, NeuroVault, and Neurosynth (presented by Russell Poldrack) have not been broadly utilized by the neuroscience education community but offer obvious potential. Finally, William Grisham discussed the iNeuro Project, an NSF-sponsored effort to develop the necessary curriculum for preparing students to handle Big Data. Linda Lanyon further elaborated on the current state and challenges in educating students to deal with Big Data and described some training resources provided by the International Neuroinformatics Coordinating Facility. Neuroinformatics is a subfield of neuroscience that deals with data utilizing analytical tools and computational models. The feasibility of offering neuroinformatics programs at primarily undergraduate institutions was also discussed.
ABSTRACT
Although textbooks are still assigned in many undergraduate science courses, it is now not uncommon, even in some of the earliest courses in the curriculum, to supplement texts with primary source readings from the scientific literature. Not only does reading these articles help students develop an understanding of specific course content, it also helps foster an ability to engage with the discipline the way its practitioners do. One challenge with this approach, however, is that it can be difficult for instructors to select appropriate readings on topics outside of their areas of expertise as would be required in a survey course, for example. Here we present a subset of the papers that were offered in response to a request for the "most amazing papers in neuroscience" that appeared on the listserv of the Faculty for Undergraduate Neuroscience (FUN). Each contributor was subsequently asked to describe briefly the content of their recommended papers, their pedagogical value, and the audiences for which these papers are best suited. Our goal is to provide readers with sufficient information to decide whether such articles might be useful in their own classes. It is not our intention that any article within this collection will provide the final word on an area of investigation, nor that this collection will provide the final word for the discipline as a whole. Rather, this article is a collection of papers that have proven themselves valuable in the hands of these particular educators. Indeed, it is our hope that this collection represents the inaugural offering of what will become a regular feature in this journal, so that we can continue to benefit from the diverse expertise of the FUN community.
ABSTRACT
ERIN, Educational Resources in Neuroscience, is the Society for Neuroscience's web portal to selected, high-quality materials for higher education. A Board of Editors approves resources after describing them and classifying them by topic, subtopic, media type, author, and appropriate educational level. Some resources are also accompanied by reviews and ratings from faculty who have used the resource. These features make a search of ERIN far more useful than a typical Google search. ERIN's development was funded by the National Science Foundation with a three-year grant to SfN. Along the way, various unexpected problems arose and solutions were found, many of which are described in this overview of ERIN's history and the various decisions that were made in its design and development.
ABSTRACT
To help students master the content of a neurophysiology course, they were asked to participate in collaborative writing projects. In the first two years, students contributed to a class wiki by summarizing one lecture and editing summaries of several others. In the second two years, students worked in teams of three or four to write a series of illustrated chapters spanning the entire semester. The second assignment kept students more engaged than the wiki project, and although they found it a significant amount of work, they also believed that it helped them learn the subject matter. Working in teams, however, was not always a happy experience.
ABSTRACT
In the spring of 2007, the Society for Neuroscience (SfN) did not include support for higher education as a priority in its strategic plan. By the spring of 2009, its priorities had changed. One catalyst for that change was a proposal for a website that would list, review, and rate resources for teaching neuroscience at the graduate and undergraduate level. The proposal was sent to and accepted by SfN Council in August 2008; by spring 2009, SfN had taken initial steps to implement it. Two documents are presented here that mark the change in policy: the website proposal, and SfN Council's response.
ABSTRACT
A combination of student interest, a grant for computers, and a suggestion from a colleague led me to convert the printed lab manual for my neurophysiology course into an online version. The web-based version incorporates videos of procedures, color photos, diagrams, links to articles, and other supplementary materials. This paper discusses designing for the web, retaining compatibility with print, layering information, making videos in digital format, and sharing self-published resources. The labs themselves (appendix) are traditional "wet" experiments with crayfish that have been used in many neurobiology courses.
