Learning from large scale neural simulations

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Serban, Maria ORCID: https://orcid.org/0000-0002-2183-7147 (2017) Learning from large scale neural simulations. In: Vital Models: The Making and Use of Models in the Brain Sciences. Progress in brain research . Academic Press. ISBN 9780128125588

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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.

Item Type: Book Section
Faculty \ School: Faculty of Arts and Humanities > School of Politics, Philosophy, Language and Communication Studies (former - to 2024)
UEA Research Groups: Faculty of Medicine and Health Sciences > Research Groups > Medical Humanities Research Network
Depositing User: LivePure Connector
Date Deposited: 06 Mar 2020 03:19
Last Modified: 04 Oct 2026 05:39
URI: https://ueaeprints.uea.ac.uk/id/eprint/74439
DOI:

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