Author

Milan Andrejević

The University of MelbourneORCID 0000-0002-7112-9384Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Organism:human· 4 Research Focus:differential expression· 3 Approach:statistical model· 3 Research Focus:cell type annotation· 2 Research Focus:benchmarking· 1 Research Focus:cell-cell communication· 1 Research Focus:clustering· 1 Assay:electronic health records· 1

Frequent Co-Authors

Alexander GenauckiD· 2 shared Andreas HeinziD· 2 shared Caroline MatthisiD· 2 shared Daniel FeuerriegeliD· 2 shared Nina Romanczuk‐SeiferthiD· 2 shared Norbert KathmanniD· 2 shared Stefan BodeiD· 2 shared André Weinreich· 1 shared

Activity by Year

2019-2022 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 23 mutual co-author links

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2 shared papersNeuroscience

Alexander GenauckORCID

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Author profile →

4 papers

Recent·Most cited

Response time modelling reveals evidence for multiple, distinct sources of moral decision caution

Milan Andrejević, Joshua P. White, Daniel Feuerriegel, Simon M. Laham, Stefan Bode

This study uses response time modeling to show that moral decision caution is influenced by moral valence and context expectancy, with distinct cognitive processes underlying each effect.

Cognition · Jan 29, 2022Peer-reviewedNeuroscience

Tracking dynamic adjustments to decision making and performance monitoring processes in conflict tasks

Daniel Feuerriegel, Matthew Jiwa, William Turner, Milan Andrejević, Robert Hester, Stefan Bode

The paper investigates how decision-making and performance monitoring adjust after conflict in a modified Flanker task, finding changes in sensory evidence and decision processes linked to frontal theta activity.

NeuroImage · Jun 17, 2021Peer-reviewedNeuroscience

Neural correlates of cue-induced changes in decision-making distinguish subjects with gambling disorder from healthy controls

Alexander Genauck, Caroline Matthis, Milan Andrejević, Lukas Ballon, Francesca Chiarello, Katharina Duecker, Andreas Heinz, Norbert Kathmann, Nina Romanczuk‐Seiferth

This study identifies neural signatures of cue-induced decision-making differences between gambling disorder and healthy controls using fMRI and machine learning.

Addiction Biology · Aug 5, 2020Peer-reviewedNeuroscience

Cue-induced effects on decision-making distinguish subjects with gambling disorder from healthy controls

Alexander Genauck, Milan Andrejević, Katharina Brehm, Caroline Matthis, Andreas Heinz, André Weinreich, Norbert Kathmann, Nina Romanczuk‐Seiferth

This study uses machine learning to show that cue-induced changes in gamble acceptance distinguish gambling disorder from healthy controls, with loss aversion not contributing to classification.

Addiction Biology · Nov 12, 2019Peer-reviewedNeuroscience