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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| Principais autores: | , , , , , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado: |
Nature Portfolio
2019-10-01
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| Series: | Nature Communications |
| Acceso en liña: | https://doi.org/10.1038/s41467-019-12225-2 |
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