Reconstructing neuronal circuitry from parallel spike trains
Current techniques have enabled the simultaneous collection of spike train data from large numbers of neurons. Here, the authors report a method to infer the underlying neural circuit connectivity diagram based on a generalized linear model applied to spike cross-correlations between neurons.
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Main Authors: | Ryota Kobayashi, Shuhei Kurita, Anno Kurth, Katsunori Kitano, Kenji Mizuseki, Markus Diesmann, Barry J. Richmond, Shigeru Shinomoto |
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Format: | article |
Language: | EN |
Published: |
Nature Portfolio
2019
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Online Access: | https://doaj.org/article/1139b3b3aec44e7da4d4083a6c74e53b |
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