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Evolutionary State-Space Model and Its Application to Time-Frequency Analysis of Local Field Potentials
We propose an evolutionary state space model (E-SSM) for analyzing high dimensional brain signals whose statistical properties evolve over the course of a non-spatial memory experiment. Under E-SSM, brain signals are modeled as mixtures of components (e.g., AR(2) process) with oscillatory activity a...
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| Pubblicato in: | Stat Sin |
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| Autori principali: | , , , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
2020
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7410164/ https://ncbi.nlm.nih.gov/pubmed/32774073 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.5705/ss.202017.0420 |
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