A convolutional neural network for estimating synaptic connectivity from spike trains
Daisuke Endo, Ryota Kobayashi, Ramón Bartolo, Bruno B. Averbeck, Yasuko Sugase-Miyamoto, Kazuko Hayashi, Kenji Kawano, Barry J. Richmond, Shigeru Shinomoto
The paper introduces a convolutional neural network to estimate synaptic connectivity from spike trains without requiring parameter tuning, and applies it to construct neuronal circuit diagrams in monkey cortical areas.
Scientific Reports · Jun 8, 2021Peer-reviewedNeuroscience