Author

Russell James Boag

University of AmsterdamORCID 0000-0002-7689-0682Unclaimed 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· 2 Assay:imaging· 2 Approach:statistical model· 2 Approach:experimental assay· 1 Approach:machine learning (classical)· 1 Research Focus:spatial domain detection· 1

Frequent Co-Authors

Birte U. ForstmanniD· 3 shared Steven MiletićiD· 3 shared Anne C. TruttiiD· 2 shared Pierre‐Louis BaziniD· 2 shared Andrew HeathcoteiD· 1 shared Asta Kristine HabergiD· 1 shared Bernhard HommeliD· 1 shared Desmond H. Y. TseiD· 1 shared

Activity by Year

2021-2024 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 31 mutual co-author links

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3 shared papersNeuroscience

Birte U. ForstmannORCID

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3 papers

Recent·Most cited

The ageing stopping network: Regional and network changes in the IFG, preSMA, and STN across the adult lifespan

Sarah Anne Kemp, Pierre‐Louis Bazin, Steven Miletić, Russell James Boag, Max Cornelis Keuken, Mark R. Hinder, Birte U. Forstmann

The paper examines anatomical changes in the response inhibition network across the adult lifespan using diffusion MRI and finds age-related changes in white matter tracts rather than regional structure.

bioRxiv · Aug 13, 2024 · PreprintNeuroscience

Investigating working memory updating processes of the human subcortex using 7T MRI

Anne C. Trutti, Zsuzsika Sjoerds, Russell James Boag, Solenn LY Walstra, Steven Miletić, Scott JS Isherwood, Pierre‐Louis Bazin, Bernhard Hommel, Sarah Habli, Desmond H. Y. Tse, Asta Kristine Haberg, Birte U. Forstmann

This study investigates subcortical involvement in working memory updating using 7T MRI and finds subcortical activation during gate closing and substitution, suggesting a role in general updating processes rather than specific gating.

bioRxiv · Mar 14, 2024Neuroscience

A new model of decision processing in instrumental learning tasks

Steven Miletić, Russell James Boag, Anne C. Trutti, Niek Stevenson, Birte U. Forstmann, Andrew Heathcote

This paper introduces a new reinforcement learning-error accumulation model (RL-ARD) that better captures response time dynamics in instrumental learning tasks compared to existing models.

eLife · Jan 27, 2021Peer-reviewedNeuroscience