- Abstract:
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A major challenge in experimental data analysis is the validation of analytical methods in a fully controlled scenario where the justification of the interpretation can be made directly and not just by plausibility. In some sciences, this could be a mathematical proof, yet biological systems usually do not satisfy assumptions of mathematical theorems. One solution is to use simulations of realistic models to generate ground truth data. In neuroscience, creating such data requires plausible mo...
Expand abstract - Publication status:
- Published
- Peer review status:
- Peer reviewed
- Version:
- Publisher's version
- Files:
-
-
(pdf, 2.6mb)
-
- Publisher copy:
- 10.1007/s12021-016-9319-4
-
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- Publisher:
- Springer Verlag Publisher's website
- Journal:
- Neuroinformatics Journal website
- Volume:
- 15
- Issue:
- 1
- Pages:
- 87–99
- Publication date:
- 2016-11-11
- DOI:
- EISSN:
-
1559-0089
- ISSN:
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1539-2791
- Pubs id:
-
pubs:827908
- URN:
-
uri:02479e03-2443-4d1a-a26e-23170d1a9eec
- UUID:
-
uuid:02479e03-2443-4d1a-a26e-23170d1a9eec
- Local pid:
- pubs:827908
- Copyright holder:
- © Głąbska, Chintaluri, and Wójcik 2016
- Copyright date:
- 2016
- Notes:
- This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
Journal article
Collection of simulated data from a thalamocortical network model
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