Author

Maria Laura Ferster

ETH ZurichORCID 0000-0003-2745-5294Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Assay:electronic health records· 4 Organism:human· 3 Approach:experimental assay· 2 Research Focus:benchmarking· 1 Research Focus:cell-cell communication· 1 Research Focus:differential expression· 1 Research Focus:drug response / drug discovery· 1 Approach:machine learning (classical)· 1

Frequent Co-Authors

Walter KarleniD· 4 shared Reto HuberiD· 3 shared Elena KrugliakovaiD· 2 shared Georgia SousouriiD· 2 shared Giulia Da PoianiD· 2 shared Jelena SkoručakiD· 2 shared Sara FattingeriD· 2 shared Selina Schühle· 2 shared

Activity by Year

2021-2025 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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4 shared papersNeuroscience

Walter KarlenORCID

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4 papers

Recent·Most cited

NeuroscienceNeuroImagePeer-reviewedOct 28, 2025

Local modulation of sleep slow waves depends on timing between auditory stimuli

Sven Leach, Sara Fattinger, Elena Krugliakova…·Reto Huber

The paper re-analyzes hd-EEG data to show that inter-stimulus interval (ISI) determines the type of slow-wave activity (SWA) modulation from phase-targeted auditory stimulation (PTAS), rather than the targeted phase alone.

3 citations

humanelectronic health records

𝕏 PostBluesky

NeurosciencebioRxivPreprintDec 26, 2024

Longer Interstimulus Intervals Enhance Efficacy of Automated Phase-Targeted Auditory Stimulation on Procedural Memory Consolidation

Vanessa Kasties, Nicole Meier, Nora-Hjördis Moser…·Reto Huber

This study shows that longer interstimulus intervals in automated up-phase-targeted auditory stimulation improve overnight procedural memory consolidation by enhancing K-complexes and spindle coupling.

4 citations

humanelectronic health records

𝕏 PostBluesky

NeuroscienceScientific ReportsPeer-reviewedAug 19, 2024

Acoustically evoked K-complexes together with sleep spindles boost verbal declarative memory consolidation in healthy adults

Sven Leach, Elena Krugliakova, Georgia Sousouri…·Reto Huber

20 citationstop 4%

humanelectronic health records

𝕏 PostBluesky

NeuroscienceBiomedical Signal Processing and ControlPeer-reviewedNov 1, 2021

Get rid of the beat in mobile EEG applications: A framework towards automated cardiogenic artifact detection and removal in single-channel EEG

Neng-Tai Chiu, Stephanie Huwiler, Maria Laura Ferster…·Caroline Lustenberger

This paper introduces brMEGA, an algorithm for automated detection and removal of cardiogenic artifacts in single-channel EEG, showing effective artifact removal and potential for heart rate feature extraction.

11 citations

electronic health recordsmachine learning (classical)

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