Author

Dante Wasmuht

University of Oxford

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

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Neuroscience· 3

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Assay:electronic health records· 3 Approach:experimental assay· 2 Research Focus:cell type annotation· 1 Organism:human· 1 Organism:mouse· 1 Organism:non-human primate· 1 Approach:statistical model· 1

Frequent Co-Authors

Mark G. StokesiD· 3 shared Jake Patrick StroudiD· 2 shared Laurence Tudor HuntiD· 2 shared Michał J. WójcikiD· 2 shared Nicholas E. MyersiD· 2 shared Amy X. LiiD· 1 shared Earl K. MilleriD· 1 shared Eelke SpaakiD· 1 shared

Activity by Year

2018-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 29 mutual co-author links

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3 shared papersNeuroscience

Mark G. StokesORCID

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3 papers

Recent·Most cited

Working memory shapes neural geometry in human EEG over learning

Michał J. Wójcik, Amy X. Li, Dante Wasmuht, Jake Patrick Stroud, Mark G. Stokes, Nicholas E. Myers, Laurence Tudor Hunt

The paper shows that working memory shapes neural geometry in human EEG during learning by transforming task features into low-dimensional representations.

bioRxiv · Jan 21, 2025 · PreprintNeuroscience

Learning shapes neural geometry in the prefrontal cortex

Michał J. Wójcik, Jake Patrick Stroud, Dante Wasmuht, Makoto Kusunoki A, Mikiko Kadohisa, Mark J. Buckley, Rui Ponte Costa, Nicholas E. Myers, Laurence Tudor Hunt, John Duncan, Mark G. Stokes

This study shows that prefrontal cortex representations change from high-dimensional and nonlinear to low-dimensional and rule-selective as animals learn a new task rule.

bioRxiv · Apr 24, 2023 · PreprintNeuroscience

Intrinsic neuronal dynamics predict distinct functional roles during working memory

Dante Wasmuht, Eelke Spaak, Timothy J. Buschman, Earl K. Miller, Mark G. Stokes

The paper shows that neurons with different intrinsic timescales contribute to distinct phases of working memory processing in primates.

Nature Communications · Aug 23, 2018Peer-reviewedNeuroscience