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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Bibliographic Details
Main Authors: Ryota Kobayashi, Shuhei Kurita, Anno Kurth, Katsunori Kitano, Kenji Mizuseki, Markus Diesmann, Barry J. Richmond, Shigeru Shinomoto
Format: article
Language:EN
Published: Nature Portfolio 2019
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Online Access:https://doaj.org/article/1139b3b3aec44e7da4d4083a6c74e53b
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