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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...
Autores principales: | Endo, Daisuke, Kobayashi, Ryota, Bartolo, Ramon, Averbeck, Bruno B., Sugase-Miyamoto, Yasuko, Hayashi, Kazuko, Kawano, Kenji, Richmond, Barry J., Shinomoto, Shigeru |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2021
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Materias: | |
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 |
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