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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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Formato: | Texto |
Lenguaje: | English |
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Frontiers Research Foundation
2008
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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. |
format | Text |
id | pubmed-2525974 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2008 |
publisher | Frontiers Research Foundation |
record_format | MEDLINE/PubMed |
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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