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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 connectivity from neuronal spike trains by applying the generalized linear model to cross-correlograms. Although the algorithm can do a good job of circuit reconstruction, the parameters need to be carefully tuned for each individual dataset. Here we present another method using a Convolutional Neural Network for Estimating synaptic Connectivity from spike trains. After adaptation to huge amounts of simulated data, this method robustly captures the specific feature of monosynaptic impact in a noisy cross-correlogram. There are no user-adjustable parameters. With this new method, we have constructed diagrams of neuronal circuits recorded in several cortical areas of monkeys.
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Details
1 Kyoto University, Graduate School of Informatics, Kyoto, Japan (GRID:grid.258799.8) (ISNI:0000 0004 0372 2033)
2 The University of Tokyo, Mathematics and Informatics Center, Tokyo, Japan (GRID:grid.26999.3d) (ISNI:0000 0001 2151 536X); The University of Tokyo, Department of Complexity Science and Engineering, Chiba, Japan (GRID:grid.26999.3d) (ISNI:0000 0001 2151 536X); JST, PRESTO, Saitama, Japan (GRID:grid.419082.6) (ISNI:0000 0004 1754 9200)
3 NIMH/NIH/DHHS, Laboratory of Neuropsychology, Bethesda, USA (GRID:grid.416868.5) (ISNI:0000 0004 0464 0574)
4 National Institute of Advanced Industrial Science and Technology, Human Informatics and Interaction Research Institute, Tsukuba, Japan (GRID:grid.208504.b) (ISNI:0000 0001 2230 7538)
5 National Institute of Advanced Industrial Science and Technology, Human Informatics and Interaction Research Institute, Tsukuba, Japan (GRID:grid.208504.b) (ISNI:0000 0001 2230 7538); Japan Society for the Promotion of Science, Tokyo, Japan (GRID:grid.54432.34) (ISNI:0000 0004 0614 710X)
6 Kyoto University, Graduate School of Informatics, Kyoto, Japan (GRID:grid.258799.8) (ISNI:0000 0004 0372 2033); ATR Institute International, Brain Information Communication Research Laboratory Group, Kyoto, Japan (GRID:grid.418163.9) (ISNI:0000 0001 2291 1583)