Representation Learning for Dynamic Functional Connectivities via Variational Dynamic Graph Latent Variable Models

Latent variable models (LVMs) for neural population spikes have revealed informative low-dimensional dynamics about the neural data and have become powerful tools for analyzing and interpreting neural activity. However, these approaches are unable to determine the neurophysiological meaning of the i...

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Detalles Bibliográficos
Autores principales: Huang, Yicong, Yu, Zhuliang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8871213/
https://www.ncbi.nlm.nih.gov/pubmed/35205448
http://dx.doi.org/10.3390/e24020152

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8871213/
https://www.ncbi.nlm.nih.gov/pubmed/35205448
http://dx.doi.org/10.3390/e24020152

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