Author

Robert Becker

University of Zurich

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Neuroscience· 4 Genomics· 1

Signature Assays, Organisms & Methods

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Organism:human· 4 Approach:statistical model· 4 Assay:electronic health records· 3 Research Focus:differential expression· 2 Assay:bulk RNA-seq· 1 Research Focus:cell type annotation· 1 Research Focus:cell-cell communication· 1 Assay:DNA methylation· 1

Frequent Co-Authors

Alexis Hervais‐AdelmaniD· 2 shared Alexander SartoriusiD· 1 shared Andreas Meyer‐LindenbergiD· 1 shared Andrew J. QuinniD· 1 shared Benjamin StrobeliD· 1 shared Carla FilosaiD· 1 shared Catharina ZichiD· 1 shared Charlotte Jane StaggiD· 1 shared

Activity by Year

2018-2025 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 10 mutual co-author links

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2 shared papersNeuroscience

Alexis Hervais‐AdelmanORCID

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5 papers

Recent·Most cited

STARR-CRAAVT: A platform to design cell type-specific regulatory elements for next-generation gene therapy

Robert Becker, Priyanka Choudhury, Martin Oti, Youssef Fouani, Benjamin Strobel, Stephanie Ketterer, Simon Rumpel, John Park, Sebastian Kreuz, Udo Maier, Stefan Michelfelder, Christian Schön

This study introduces STARR-CRAAVT, a platform to identify cell type-specific enhancers for gene therapy, showing promoter preference and enhancer positioning significantly affect activity.

bioRxiv · Jun 4, 2025 · PreprintGenomics

Hierarchical cross-scale analysis identifies parallel ventral striatal networks coding for dynamic and stabilized olfactory reward predictions

Laurens Winkelmeier, Carla Filosa, Max F. Scheller, Renée Hartig, Markus Sack, Robert Becker, David Wolf, Jonathan Reinwald, Martin Fungisai Gerchen, Alexander Sartorius, Andreas Meyer‐Lindenberg, Wolfgang Weber‐Fahr, Christian Clemm von Hohenberg, Eleonora Russo, Wolfgang Kelsch

This study uses a cross-scale approach to identify how reward predictions are coded in the ventral striatum during olfactory conditioning in mice.

bioRxiv · Feb 22, 2021 · PreprintNeuroscience

Resolving the connectome - Spectrally-specific functional connectivity networks and their distinct contributions to behaviour

Robert Becker, Alexis Hervais‐Adelman

The paper examines spectrally resolved resting-state connectivity patterns from MEG data to link frequency-specific functional networks to behavioural and demographic traits in healthy participants.

eNeuro · Aug 21, 2020Peer-reviewedNeuroscience

The Noise-Resilient Brain: Resting-State Oscillatory Activity Predicts Words-In-Noise Recognition

Thomas Houweling, Robert Becker, Alexis Hervais‐Adelman

The paper shows that resting-state MEG oscillatory power in specific brain regions predicts words-in-noise recognition performance.

Brain and Language · Jan 7, 2020Peer-reviewedNeuroscience

Motor learning shapes temporal activity in human sensorimotor cortex

Catharina Zich, Mark W. Woolrich, Robert Becker, Diego Vidaurre, Jacqueline Scholl, Emily L. Hinson, Laurie Josephs, Sven Braeutigam, Andrew J. Quinn, Charlotte Jane Stagg

The paper uses magnetoencephalography and Hidden Markov Modelling to detect changes in {beta}-activity during motor learning, showing its relevance across different motor tasks.

bioRxiv · Jun 12, 2018 · PreprintNeuroscience