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Functional connectomics from neural dynamics: probabilistic graphical models for neuronal network of Caenorhabditis elegans
We propose an approach to represent neuronal network dynamics as a probabilistic graphical model (PGM). To construct the PGM, we collect time series of neuronal responses produced by the neuronal network and use singular value decomposition to obtain a low-dimensional projection of the time-series d...
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| Publicado no: | Philos Trans R Soc Lond B Biol Sci |
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| Main Authors: | , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
The Royal Society
2018
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6158227/ https://ncbi.nlm.nih.gov/pubmed/30201841 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1098/rstb.2017.0377 |
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