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Coarse--graining, fixed points, and scaling in a large population of neurons
Coarse--graining, fixed points, and scaling in a large population of neurons
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Coarse--graining, fixed points, and scaling in a large population of neurons
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Coarse--graining, fixed points, and scaling in a large population of neurons
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Coarse--graining, fixed points, and scaling in a large population of neurons
Coarse--graining, fixed points, and scaling in a large population of neurons
Paper

Coarse--graining, fixed points, and scaling in a large population of neurons

2018
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Overview
We develop a phenomenological coarse--graining procedure for activity in a large network of neurons, and apply this to recordings from a population of 1000+ cells in the hippocampus. Distributions of coarse--grained variables seem to approach a fixed non--Gaussian form, and we see evidence of scaling in both static and dynamic quantities. These results suggest that the collective behavior of the network is described by a non--trivial fixed point.
Publisher
Cornell University Library, arXiv.org

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