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...
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| Language: | English |
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The MIT Press
2017-02-01
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| Series: | Network Neuroscience |
| Online Access: | https://www.mitpressjournals.org/doi/pdf/10.1162/NETN_e_00005 |
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doaj-0d03b1928f144a57afcef57d5946893f2020-11-24T21:11:13ZengThe MIT PressNetwork Neuroscience2472-17512017-02-01121210.1162/NETN_e_00005NETN_e_00005The future of network neuroscienceUnderstanding 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.https://www.mitpressjournals.org/doi/pdf/10.1162/NETN_e_00005 |
| collection |
DOAJ |
| language |
English |
| format |
Article |
| sources |
DOAJ |
| title |
The future of network neuroscience |
| spellingShingle |
The future of network neuroscience Network Neuroscience |
| title_short |
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_sort |
future of network neuroscience |
| publisher |
The MIT Press |
| series |
Network Neuroscience |
| issn |
2472-1751 |
| publishDate |
2017-02-01 |
| 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. |
| url |
https://www.mitpressjournals.org/doi/pdf/10.1162/NETN_e_00005 |
| _version_ |
1716754188608733184 |