Author

Emmeke Aarts

Utrecht UniversityORCID 0000-0002-2432-7564Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Approach:Bayesian inference· 1 Assay:electronic health records· 1 Organism:non-human primate· 1 Research Focus:trajectory inference· 1

Frequent Co-Authors

Gino Coudé· 1 shared James John BonaiutoiD· 1 shared Marco BimbiiD· 1 shared Pier Francesco FerrariiD· 1 shared Sebastian Mildiner MoragaiD· 1 shared Sebastien KirchherriD· 1 shared

Activity by Year

2023-2023 · peak 1/yr

Co-Author Collaboration Network

6 top collaborators · 15 mutual co-author links

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1 shared paperNeuroscience

Gino Coudé

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1 paper

Recent·Most cited

Bayesian multilevel hidden Markov models identify stable state dynamics in longitudinal recordings from macaque primary motor cortex

Sebastien Kirchherr, Sebastian Mildiner Moraga, Gino Coudé, Marco Bimbi, Pier Francesco Ferrari, Emmeke Aarts, James John Bonaiuto

This paper introduces a multilevel Bayesian HMM to analyze longitudinal neural recordings, identifying stable latent states linked to behavioral events in macaque motor cortex.

European Journal of Neuroscience · Jun 29, 2023Peer-reviewedNeuroscience