A convolutional neural network for estimating synaptic connectivity from spike trains

Abstract 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 connectivi...

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Bibliographic Details
Main Authors: Daisuke Endo, Ryota Kobayashi, Ramon Bartolo, Bruno B. Averbeck, Yasuko Sugase-Miyamoto, Kazuko Hayashi, Kenji Kawano, Barry J. Richmond, Shigeru Shinomoto
Format: Article
Language:English
Published: Nature Portfolio 2021-06-01
Series:Scientific Reports
Online Access:https://doi.org/10.1038/s41598-021-91244-w