Data-driven models in human neuroscience and neuroengineering.

Abstract:

:Discoveries in modern human neuroscience are increasingly driven by quantitative understanding of complex data. Data-intensive approaches to modeling have promise to dramatically advance our understanding of the brain and critically enable neuroengineering capabilities. In this review, we provide an accessible primer to modern modeling approaches and highlight recent data-driven discoveries in the domains of neuroimaging, single-neuron and neuronal population responses, and device neuroengineering. Further, we suggest that meaningful progress requires the community to tackle open challenges in the realms of model interpretability and generalizability, training pipelines of data-fluent human neuroscientists, and integrated consideration of data ethics.

journal_name

Curr Opin Neurobiol

authors

Brunton BW,Beyeler M

doi

10.1016/j.conb.2019.06.008

subject

Has Abstract

pub_date

2019-10-01 00:00:00

pages

21-29

eissn

0959-4388

issn

1873-6882

pii

S0959-4388(18)30250-2

journal_volume

58

pub_type

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