Computational models in the age of large datasets
Technological advances in experimental neuroscience are generating vast quantities of data, from the dynamics of single molecules to the structure and activity patterns of large networks of neurons. How do we make sense of these voluminous, complex, disparate and often incomplete data? How do we fin...
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| Auteurs principaux: | , , |
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| Langue: | anglais |
| Publié: |
Elsevier
2019
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| Accès en ligne: | https://demo7.dspace.org/handle/123456789/467 |
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