Work

Open Source Software Tools for Teaching Neuroscience.

Year: 2018

Type: article

Abstract: We developed an interdisciplinary course in computational neuroscience to address the need for students trained in both biological/psychological and quantitative sciences. Increasingly, exposure to advanced math and physics is important to stay on the cutting edge of developments and research in neuroscience. Additionally, the ability to work in multidisciplinary teams will continue to be an asset as the field develops. This course brings together students from biology, psychology, biochemistry, engineering, physics, and mathematics. The course was designed to highlight the importance of math in understanding fundamental neuroscience concepts and to prepare students for professional careers in neuroscience. They learn neurobiology, via a 'biology to model and back again' approach involving wet- and software/modeling-labs, with the latter being the focus of this paper. We presented a subset of the software activities described here at the 2017 Faculty for Undergraduate Neuroscience Workshop.

Source: Europe PMC (PubMed Central)

Authors: Benjamin Latimer, David Bergin, Vinay Guntu, David Schulz, Satish Nair

Institution: University of Missouri

Language: English

Topic: Undergraduate Neuroscience Education and Research

Subfield: Cognitive Neuroscience

Field: Neuroscience

Domain: Life Sciences

SDG: Quality education

Open Access status: green

Funder: National Institute of Mental Health

Award: CRCNS: Modeling Acquisition and Extinction of Fear Memories in Amygdala Circuits