Quantitative analysis of neuroanatomy
The true revolution in the age of digital neuroanatomy is the ability to extensively quantify anatomical structures and thus investigate structure-function relationships in great detail. Large-scale projects were recently launched with the aim of providing infrastructure for brain simulations. These...
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| Médium: | Online |
| Jazyk: | angličtina |
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Frontiers Media SA
2021
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| Témata: | |
| On-line přístup: | 18907 |
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| _version_ | 1869524120848302080 |
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| author | Hermann Cuntz Stephen J. Eglen Julian M. L. Budd Patrik Krieger |
| author_browse | Hermann Cuntz Julian M. L. Budd Patrik Krieger Stephen J. Eglen |
| author_facet | Hermann Cuntz Stephen J. Eglen Julian M. L. Budd Patrik Krieger |
| author_sort | Hermann Cuntz |
| collection | Directory of Open Access Books |
| description | The true revolution in the age of digital neuroanatomy is the ability to extensively quantify anatomical structures and thus investigate structure-function relationships in great detail. Large-scale projects were recently launched with the aim of providing infrastructure for brain simulations. These projects will increase the need for a precise understanding of brain structure, e.g., through statistical analysis and models. From articles in this Research Topic, we identify three main themes that clearly illustrate how new quantitative approaches are helping advance our understanding of neural structure and function. First, new approaches to reconstruct neurons and circuits from empirical data are aiding neuroanatomical mapping. Second, methods are introduced to improve understanding of the underlying principles of organization. Third, by combining existing knowledge from lower levels of organization, models can be used to make testable predictions about a higher-level organization where knowledge is absent or poor. This latter approach is useful for examining statistical properties of specific network connectivity when current experimental methods have not yet been able to fully reconstruct whole circuits of more than a few hundred neurons. |
| format | Online |
| id | doab-20.500.12854ir-57436 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2021 |
| publishDateRange | 2021 |
| publishDateSort | 2021 |
| publisher | Frontiers Media SA |
| publisherStr | Frontiers Media SA |
| record_format | ojs |
| spelling | doab-20.500.12854ir-574362024-04-05T17:30:42Z Quantitative analysis of neuroanatomy Hermann Cuntz Stephen J. Eglen Julian M. L. Budd Patrik Krieger RC321-571 Q1-390 Quantitative morphology connectomics spatial statistics Dendrites neuronal modelling thema EDItEUR::P Mathematics and Science::PS Biology, life sciences::PSA Life sciences: general issues::PSAN Neurosciences The true revolution in the age of digital neuroanatomy is the ability to extensively quantify anatomical structures and thus investigate structure-function relationships in great detail. Large-scale projects were recently launched with the aim of providing infrastructure for brain simulations. These projects will increase the need for a precise understanding of brain structure, e.g., through statistical analysis and models. From articles in this Research Topic, we identify three main themes that clearly illustrate how new quantitative approaches are helping advance our understanding of neural structure and function. First, new approaches to reconstruct neurons and circuits from empirical data are aiding neuroanatomical mapping. Second, methods are introduced to improve understanding of the underlying principles of organization. Third, by combining existing knowledge from lower levels of organization, models can be used to make testable predictions about a higher-level organization where knowledge is absent or poor. This latter approach is useful for examining statistical properties of specific network connectivity when current experimental methods have not yet been able to fully reconstruct whole circuits of more than a few hundred neurons. 2021-02-12T00:32:57Z 2021-02-12T00:32:57Z 2016-04-07 11:22:02 2016 book 18907 16648714 9782889197965 https://directory.doabooks.org/handle/20.500.12854/57436 eng Frontiers Research Topics image/jpeg Attribution 4.0 International http://journal.frontiersin.org/researchtopic/2028/quantitative-analysis-of-neuroanatomy http://journal.frontiersin.org/researchtopic/2028/quantitative-analysis-of-neuroanatomy Frontiers Media SA 10.3389/978-2-88919-796-5 10.3389/978-2-88919-796-5 bf5ce210-e72e-4860-ba9b-c305640ff3ae 9782889197965 244 open access |
| spellingShingle | RC321-571 Q1-390 Quantitative morphology connectomics spatial statistics Dendrites neuronal modelling thema EDItEUR::P Mathematics and Science::PS Biology, life sciences::PSA Life sciences: general issues::PSAN Neurosciences Hermann Cuntz Stephen J. Eglen Julian M. L. Budd Patrik Krieger Quantitative analysis of neuroanatomy |
| title | Quantitative analysis of neuroanatomy |
| title_full | Quantitative analysis of neuroanatomy |
| title_fullStr | Quantitative analysis of neuroanatomy |
| title_full_unstemmed | Quantitative analysis of neuroanatomy |
| title_short | Quantitative analysis of neuroanatomy |
| title_sort | quantitative analysis of neuroanatomy |
| topic | RC321-571 Q1-390 Quantitative morphology connectomics spatial statistics Dendrites neuronal modelling thema EDItEUR::P Mathematics and Science::PS Biology, life sciences::PSA Life sciences: general issues::PSAN Neurosciences |
| topic_facet | RC321-571 Q1-390 Quantitative morphology connectomics spatial statistics Dendrites neuronal modelling thema EDItEUR::P Mathematics and Science::PS Biology, life sciences::PSA Life sciences: general issues::PSAN Neurosciences |
| url | 18907 |
| work_keys_str_mv | AT hermanncuntz quantitativeanalysisofneuroanatomy AT stephenjeglen quantitativeanalysisofneuroanatomy AT julianmlbudd quantitativeanalysisofneuroanatomy AT patrikkrieger quantitativeanalysisofneuroanatomy |