A convolutional neural network for estimating synaptic connectivity from spike trains

The recent increase in reliable, simultaneous high channel count extracellular recordings is exciting for physiologists and theoreticians because it offers the possibility of reconstructing the underlying neuronal circuits. We recently presented a method of inferring this circuit connectivity from n...

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Detalles Bibliográficos
Autores principales: Endo, Daisuke, Kobayashi, Ryota, Bartolo, Ramon, Averbeck, Bruno B., Sugase-Miyamoto, Yasuko, Hayashi, Kazuko, Kawano, Kenji, Richmond, Barry J., Shinomoto, Shigeru
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8187444/
https://www.ncbi.nlm.nih.gov/pubmed/34103546
http://dx.doi.org/10.1038/s41598-021-91244-w

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8187444/
https://www.ncbi.nlm.nih.gov/pubmed/34103546
http://dx.doi.org/10.1038/s41598-021-91244-w

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