Computational training for the next generation of neuroscientists.

Abstract:

:Neuroscience 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.

journal_name

Curr Opin Neurobiol

authors

Goldman MS,Fee MS

doi

10.1016/j.conb.2017.06.007

subject

Has Abstract

pub_date

2017-10-01 00:00:00

pages

25-30

eissn

0959-4388

issn

1873-6882

pii

S0959-4388(17)30159-9

journal_volume

46

pub_type

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