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Estimating information in time-varying signals
[article]
2018
arXiv
pre-print
Across diverse biological systems -- ranging from neural networks to intracellular signaling and genetic regulatory networks -- the information about changes in the environment is frequently encoded in the full temporal dynamics of the network nodes. A pressing data-analysis challenge has thus been to efficiently estimate the amount of information that these dynamics convey from experimental data. Here we develop and evaluate decoding-based estimation methods to lower bound the mutual
arXiv:1812.11884v1
fatcat:oa4hklp6gzgvjpnfuyjnvjufmq