Author

Simjon Radloff

Technische Universität BerlinORCID 0000-0002-6125-4712Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Research Focus:differential expression· 1 Assay:electronic health records· 1 Organism:human· 1 Approach:machine learning (classical)· 1

Frequent Co-Authors

Elvira BratticoiD· 1 shared Leonardo BonettiiD· 1 shared Manon GrubeiD· 1 shared Niels Trusbak HaumanniD· 1 shared Peter VuustiD· 1 shared Stephanie Brandl· 1 shared Sven Dähne· 1 shared

Activity by Year

2021-2021 · peak 1/yr

Co-Author Collaboration Network

7 top collaborators · 21 mutual co-author links

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1 shared paperNeuroscience

Elvira BratticoORCID

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1 paper

Recent·Most cited

NeurosciencebioRxivPreprintApr 23, 2021

Fourier SPoC: A costumised machine-learning analysis pipeline for auditory beat-based entrainment in the MEG

Stephanie Brandl, Niels Trusbak Haumann, Simjon Radloff…·Manon Grube

This paper introduces a machine-learning pipeline for analysing MEG data to detect beat-related oscillatory power modulation, showing clearer patterns than traditional methods.

1 citation

humanelectronic health records

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