REAL-TIME VARIATIONAL METHOD FOR LEARNING NEURAL TRAJECTORY AND ITS DYNAMICS

Latent variable models have become instrumental in computational neuroscience for reasoning about neural computation. This has fostered the development of powerful offline algorithms for extracting latent neural trajectories from neural recordings. However, despite the potential of real time alterna...

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Detalles Bibliográficos
Autores principales: Dowling, Matthew, Zhao, Yuan, Park, Il Memming
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cornell University 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10246118/
https://www.ncbi.nlm.nih.gov/pubmed/37292472

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10246118/
https://www.ncbi.nlm.nih.gov/pubmed/37292472

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