Author

Oliver Sherwood

King's College London

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· 3

Signature Assays, Organisms & Methods

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Assay:imaging· 3 Research Focus:benchmarking· 2 Approach:statistical model· 2 Approach:Bayesian inference· 1 Assay:bulk RNA-seq· 1 Research Focus:cell-cell communication· 1 Research Focus:dimensionality reduction· 1 Organism:human· 1

Frequent Co-Authors

Robert LeechiD· 3 shared David HaydockiD· 2 shared Federico TurkheimeriD· 2 shared Alessandro CiaramellaiD· 1 shared Boris C. BernhardtiD· 1 shared Daniel S. MarguliesiD· 1 shared Elizabeth JefferiesiD· 1 shared Emily J. H. JonesiD· 1 shared

Activity by Year

2025-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 38 mutual co-author links

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3 shared papersNeuroscience

Robert LeechORCID

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Author profile →

3 papers

Recent·Most cited

AutoNeuro: An Open-Source fMRI Toolbox for Real-Time Neuroadaptive Task Design

Oliver Sherwood, David Haydock, Raha Razin, Frederic Dick, Robert Leech

AutoNeuro enables real-time fMRI with adaptive task design by integrating acquisition, preprocessing, and Bayesian optimization for closed-loop neuroimaging.

bioRxiv · Apr 23, 2026 · PreprintNeuroscience

The spatial layout of antagonistic brain regions is explicable based on geometric principles

Robert Leech, Rodrigo M. Braga, David Haydock, Nicholas Vowles, Elizabeth Jefferies, Boris C. Bernhardt, Federico Turkheimer, Francesco Alberti, Daniel S. Margulies, Oliver Sherwood, Emily J. H. Jones, Jonathan Smallwood, František Váša

The paper uses kriging to show that task-induced brain activity increases can be predicted from activity decreases, revealing topographically determined antagonistic relationships.

Communications Biology · Jun 7, 2025Peer-reviewedNeuroscience

DySCo: a general framework for dynamic Functional Connectivity

Giuseppe de Alteriis, Oliver Sherwood, Alessandro Ciaramella, Robert Leech, Joana Cabral, Federico Turkheimer, Paul Expert

DySCo introduces a framework for dynamic functional connectivity analysis, providing a unified theoretical approach and efficient algorithms for processing high-dimensional brain data.

PLoS Computational Biology · Mar 7, 2025Peer-reviewedNeuroscience