Reconstructing neuronal circuitry from parallel spike trains

State-of-the-art techniques allow researchers to record large numbers of spike trains in parallel for many hours. With enough such data, we should be able to infer the connectivity among neurons. Here we develop a method for reconstructing neuronal circuitry by applying a generalized linear model (G...

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Detalles Bibliográficos
Autores principales: Kobayashi, Ryota, Kurita, Shuhei, Kurth, Anno, Kitano, Katsunori, Mizuseki, Kenji, Diesmann, Markus, Richmond, Barry J., Shinomoto, Shigeru
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6775109/
https://www.ncbi.nlm.nih.gov/pubmed/31578320
http://dx.doi.org/10.1038/s41467-019-12225-2

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6775109/
https://www.ncbi.nlm.nih.gov/pubmed/31578320
http://dx.doi.org/10.1038/s41467-019-12225-2

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