Cargando…
The future of network neuroscience
Understanding the brain represents one of the most profound and pressing scientific challenges of the 21st century. As brain data have increased in volume and complexity, the tools and methods of network science have become indispensable for mapping and modeling brain structure and function, for bri...
| Autor principal: | |
|---|---|
| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MIT Press
2017
|
| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5824831/ https://www.ncbi.nlm.nih.gov/pubmed/29601051 http://dx.doi.org/10.1162/NETN_e_00005 |
| _version_ | 1783302092385943552 |
|---|---|
| author | Sporns, Olaf |
| author_facet | Sporns, Olaf |
| author_sort | Sporns, Olaf |
| collection | PubMed |
| description | Understanding the brain represents one of the most profound and pressing scientific challenges of the 21st century. As brain data have increased in volume and complexity, the tools and methods of network science have become indispensable for mapping and modeling brain structure and function, for bridging scales of organization, and for integrating across empirical and computational methodologies. The creation of a new journal, Network Neuroscience, will contribute to guiding this emerging and interdisciplinary field in new directions. |
| format | Online Article Text |
| id | pubmed-5824831 |
| institution | National Center for Biotechnology Information |
| language | English |
| publishDate | 2017 |
| publisher | MIT Press |
| record_format | MEDLINE/PubMed |
| spelling | pubmed-58248312018-03-27 The future of network neuroscience Sporns, Olaf Netw Neurosci Editorial Understanding the brain represents one of the most profound and pressing scientific challenges of the 21st century. As brain data have increased in volume and complexity, the tools and methods of network science have become indispensable for mapping and modeling brain structure and function, for bridging scales of organization, and for integrating across empirical and computational methodologies. The creation of a new journal, Network Neuroscience, will contribute to guiding this emerging and interdisciplinary field in new directions. MIT Press 2017-02-01 /pmc/articles/PMC5824831/ /pubmed/29601051 http://dx.doi.org/10.1162/NETN_e_00005 Text en © 2017 Massachusetts Institute of Technology Published under a Creative Commons Attribution 4.0 International (CC BY 4.0) license http://creativecommons.org/licenses/by/3.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
| spellingShingle | Editorial Sporns, Olaf The future of network neuroscience |
| title | The future of network neuroscience |
| title_full | The future of network neuroscience |
| title_fullStr | The future of network neuroscience |
| title_full_unstemmed | The future of network neuroscience |
| title_short | The future of network neuroscience |
| title_sort | future of network neuroscience |
| topic | Editorial |
| url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5824831/ https://www.ncbi.nlm.nih.gov/pubmed/29601051 http://dx.doi.org/10.1162/NETN_e_00005 |
| work_keys_str_mv | AT spornsolaf thefutureofnetworkneuroscience AT spornsolaf futureofnetworkneuroscience |