Subsampling scaling

We can often observe only a small fraction of a system, which leads to biases in the inference of its global properties. Here, the authors develop a framework that enables overcoming subsampling effects, apply it to recordings from developing neural networks, and find that neural networks become cri...

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Bibliographic Details
Main Authors: A. Levina, V. Priesemann
Format: article
Language:EN
Published: Nature Portfolio 2017
Subjects:
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Online Access:https://doaj.org/article/d66280b5799a4525aab1718bc929494c
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