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Analysis of sampling artifacts on the Granger causality analysis for topology extraction of neuronal dynamics
Granger causality (GC) is a powerful method for causal inference for time series. In general, the GC value is computed using discrete time series sampled from continuous-time processes with a certain sampling interval length τ, i.e., the GC value is a function of τ. Using the GC analysis for the top...
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| Main Authors: | , , , |
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| Format: | Artigo |
| Language: | Inglês |
| Published: |
Frontiers Media S.A.
2014
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| Subjects: | |
| Online Access: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4115622/ https://ncbi.nlm.nih.gov/pubmed/25126067 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3389/fncom.2014.00075 |
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