Learning from large-scale neural simulations.

Abstract:

:Large-scale neural simulations have the marks of a distinct methodology which can be fruitfully deployed in neuroscience. I distinguish between two types of applications of the simulation methodology in neuroscientific research. Model-oriented applications aim to use the simulation outputs to derive new hypotheses about brain organization and functioning and thus to extend current theoretical knowledge and understanding in the field. Data-oriented applications of the simulation methodology target the collection and analysis of data relevant for neuroscientific research that is inaccessible via more traditional experimental methods. I argue for a two-stage evaluation schema which helps clarify the differences and similarities between three current large-scale simulation projects pursued in neuroscience.

journal_name

Prog Brain Res

authors

Serban M

doi

10.1016/bs.pbr.2017.05.004

subject

Has Abstract

pub_date

2017-01-01 00:00:00

pages

129-148

eissn

0079-6123

issn

1875-7855

pii

S0079-6123(17)30021-3

journal_volume

233

pub_type

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