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Large-Scale Modeling – a Tool for Conquering the Complexity of the Brain

Is there any hope of achieving a thorough understanding of higher functions such as perception, memory, thought and emotion or is the stunning complexity of the brain a barrier which will limit such efforts for the foreseeable future? In this perspective we discuss methods to handle complexity, appr...

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Detalles Bibliográficos
Autores principales: Djurfeldt, Mikael, Ekeberg, Örjan, Lansner, Anders
Formato: Texto
Lenguaje:English
Publicado: Frontiers Research Foundation 2008
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2525974/
https://www.ncbi.nlm.nih.gov/pubmed/18974793
http://dx.doi.org/10.3389/neuro.11.001.2008
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author Djurfeldt, Mikael
Ekeberg, Örjan
Lansner, Anders
author_facet Djurfeldt, Mikael
Ekeberg, Örjan
Lansner, Anders
author_sort Djurfeldt, Mikael
collection PubMed
description Is there any hope of achieving a thorough understanding of higher functions such as perception, memory, thought and emotion or is the stunning complexity of the brain a barrier which will limit such efforts for the foreseeable future? In this perspective we discuss methods to handle complexity, approaches to model building, and point to detailed large-scale models as a new contribution to the toolbox of the computational neuroscientist. We elucidate some aspects which distinguishes large-scale models and some of the technological challenges which they entail.
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spelling pubmed-25259742008-10-29 Large-Scale Modeling – a Tool for Conquering the Complexity of the Brain Djurfeldt, Mikael Ekeberg, Örjan Lansner, Anders Front Neuroinformatics Neuroscience Is there any hope of achieving a thorough understanding of higher functions such as perception, memory, thought and emotion or is the stunning complexity of the brain a barrier which will limit such efforts for the foreseeable future? In this perspective we discuss methods to handle complexity, approaches to model building, and point to detailed large-scale models as a new contribution to the toolbox of the computational neuroscientist. We elucidate some aspects which distinguishes large-scale models and some of the technological challenges which they entail. Frontiers Research Foundation 2008-04-02 /pmc/articles/PMC2525974/ /pubmed/18974793 http://dx.doi.org/10.3389/neuro.11.001.2008 Text en Copyright © 2008 Djurfeldt, Ekeberg and Lansner. http://www.frontiersin.org/licenseagreement This is an open-access article subject to an exclusive license agreement between the authors and the Frontiers Research Foundation, which permits unrestricted use, distribution, and reproduction in any medium, provided the original authors and source are credited.
spellingShingle Neuroscience
Djurfeldt, Mikael
Ekeberg, Örjan
Lansner, Anders
Large-Scale Modeling – a Tool for Conquering the Complexity of the Brain
title Large-Scale Modeling – a Tool for Conquering the Complexity of the Brain
title_full Large-Scale Modeling – a Tool for Conquering the Complexity of the Brain
title_fullStr Large-Scale Modeling – a Tool for Conquering the Complexity of the Brain
title_full_unstemmed Large-Scale Modeling – a Tool for Conquering the Complexity of the Brain
title_short Large-Scale Modeling – a Tool for Conquering the Complexity of the Brain
title_sort large-scale modeling – a tool for conquering the complexity of the brain
topic Neuroscience
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2525974/
https://www.ncbi.nlm.nih.gov/pubmed/18974793
http://dx.doi.org/10.3389/neuro.11.001.2008
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