Publication:

The Scientific Case for Brain Simulations

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BBP

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VPA-AVP-CP

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VPA

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EPFL

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BBP

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EPFL

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170052

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12911

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11230

cris.virtual.unitManager

Schürmann, Felix

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Bugnion, Edouard

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datacite.rights

metadata-only

dc.contributor.author

Einevoll, Gaute T.

dc.contributor.author

Destexhe, Alain

dc.contributor.author

Diesmann, Markus

dc.contributor.author

Gruen, Sonja

dc.contributor.author

Jirsa, Viktor

dc.contributor.author

de Kamps, Marc

dc.contributor.author

Migliore, Michele

dc.contributor.author

Ness, Torbjorn V.

dc.contributor.author

Plesser, Hans E.

dc.contributor.author

Schurmann, Felix

dc.date.accessioned

2019-06-18T11:48:01

dc.date.available

2019-06-18T11:48:01

dc.date.created

2019-06-18

dc.date.issued

2019-05-22

dc.date.modified

2025-02-01T21:44:32.816202Z

dc.description.abstract

A key element of the European Union's Human Brain Project (HBP) and other large-scale brain research projects is the simulation of large-scale model networks of neurons. Here, we argue why such simulations will likely be indispensable for bridging the scales between the neuron and system levels in the brain, and why a set of brain simulators based on neuron models at different levels of biological detail should therefore be developed. To allow for systematic refinement of candidate network models by comparison with experiments, the simulations should be multimodal in the sense that they should predict not only action potentials, but also electric, magnetic, and optical signals measured at the population and system levels.

dc.description.sponsorship

GR-FSCH

dc.description.sponsorship

BBP-CORE

dc.identifier.doi

10.1016/j.neuron.2019.03.027

dc.identifier.isi

WOS:000468597000011

dc.identifier.uri

https://infoscience.epfl.ch/handle/20.500.14299/158092

dc.publisher

CELL PRESS

dc.publisher.place

Cambridge

dc.relation.issn

0896-6273

dc.relation.issn

1097-4199

dc.relation.journal

Neuron

dc.source

WoS

dc.subject

Neurosciences

dc.subject

Neurosciences & Neurology

dc.subject

local-field potentials

dc.subject

model

dc.subject

dynamics

dc.subject

network

dc.subject

neuron

dc.subject

generation

dc.subject

attention

dc.subject

tool

dc.title

The Scientific Case for Brain Simulations

dc.type

text::journal::journal article::review article

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Publication

dspace.legacy.oai-identifier

oai:infoscience.epfl.ch:267311

epfl.curator.email

manon.velasco@epfl.ch

epfl.lastmodified.email

dace.stiebrina@epfl.ch

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Reviews

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ARTICLE

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OpenAIREv4

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review

epfl.peerreviewed

REVIEWED

epfl.publication.version

http://purl.org/coar/version/c_970fb48d4fbd8a85

epfl.writtenAt

EPFL

oaire.citation.endPage

744

oaire.citation.issue

4

oaire.citation.startPage

735

oaire.citation.volume

102

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