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Computational optimization of associative learning experiments
With computational biology striving to provide more accurate theoretical accounts of biological systems, use of increasingly complex computational models seems inevitable. However, this trend engenders a challenge of optimal experimental design: due to the flexibility of complex models, it is diffic...
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| Publicado no: | PLoS Comput Biol |
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| Main Authors: | , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Public Library of Science
2020
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6964915/ https://ncbi.nlm.nih.gov/pubmed/31905214 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pcbi.1007593 |
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