Learning from large scale neural simulations

Research output: Chapter in Book/Report/Conference proceedingChapter (peer-reviewed)

2 Citations (Scopus)

Abstract

Large-scale neural simulations have the marks of a distinct methodology which can be fruitfully deployed in neuroscience. I distinguish 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.
Original languageEnglish
Title of host publicationVital Models: The Making and Use of Models in the Brain Sciences
EditorsTara Mahfoud, Sam McLean, Nikolas Rose
PublisherAcademic Press
ISBN (Print)9780128125588
Publication statusPublished - 2017

Publication series

NameProgress in brain research
Volume233

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