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Dynamical differential covariance recovers directional network structure in multiscale neural systems
Investigating neural interactions is essential to understanding the neural basis of behavior. Many statistical methods have been used for analyzing neural activity, but estimating the direction of network interactions correctly and efficiently remains a difficult problem. Here, we derive dynamical d...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
National Academy of Sciences
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9214501/ https://www.ncbi.nlm.nih.gov/pubmed/35679342 http://dx.doi.org/10.1073/pnas.2117234119 |