• Curr. Opin. Neurobiol. · Oct 2017

    Computational training for the next generation of neuroscientists.

    • Mark S Goldman and Michale S Fee.
    • Center for Neuroscience, Department of Neurobiology, Physiology, and Behavior, and Department of Ophthalmology and Vision Science, University of California - Davis, Davis, CA 95618, USA. Electronic address: msgoldman@ucdavis.edu.
    • Curr. Opin. Neurobiol. 2017 Oct 1; 46: 25-30.

    AbstractNeuroscience research has become increasingly reliant upon quantitative and computational data analysis and modeling techniques. However, the vast majority of neuroscientists are still trained within the traditional biology curriculum, in which computational and quantitative approaches beyond elementary statistics may be given little emphasis. Here we provide the results of an informal poll of computational and other neuroscientists that sought to identify critical needs, areas for improvement, and educational resources for computational neuroscience training. Motivated by this survey, we suggest steps to facilitate quantitative and computational training for future neuroscientists.Copyright © 2017 Elsevier Ltd. All rights reserved.

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