Efficient "Shotgun" Inference of Neural Connectivity from Highly Sub-sampled Activity Data.
Inferring connectivity in neuronal networks remains a key challenge in statistical neuroscience. The "common input" problem presents a major roadblock: it is difficult to reliably distinguish causal connections between pairs of observed neurons versus correlations induced by common input from unobse...
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| Main Authors: | , , , , , |
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| Format: | Artigo |
| Language: | Inglês |
| Published: |
Public Library of Science (PLoS)
2015-10-01
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| Series: | PLoS Computational Biology |
| Online Access: | http://europepmc.org/articles/PMC4605541?pdf=render |
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