Author

Jeremy M. Wolfe

Brigham and Women's HospitalORCID 0000-0002-6475-1984Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Neuroscience· 3

Signature Assays, Organisms & Methods

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Approach:statistical model· 3 Assay:electronic health records· 2 Organism:human· 2 Assay:imaging· 1

Frequent Co-Authors

Benjamin James GriffithsiD· 2 shared Katharina DueckeriD· 2 shared Kimron L. ShapiroiD· 2 shared Ole B. JenseniD· 2 shared Simon HanslmayriD· 2 shared Yali PaniD· 2 shared Aleksandra Pastuszak· 1 shared Andrew J. QuinniD· 1 shared

Activity by Year

2024-2025 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 29 mutual co-author links

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2 shared papersNeuroscience

Benjamin James GriffithsORCID

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3 papers

Recent·Most cited

Higher baseline alpha power is associated with faster responses in visual search

Katharina Duecker, Kimron L. Shapiro, Simon Hanslmayr, Benjamin James Griffiths, Andrew J. Quinn, Jeremy M. Wolfe, Yali Pan, Aleksandra Pastuszak, Ole B. Jensen

This study shows higher baseline alpha power is linked to faster visual search performance, challenging the idea that alpha oscillations reduce visual processing.

bioRxiv · Aug 29, 2025 · PreprintNeuroscience

Electrophysiological correlates of visual memory search

Lauren H. Williams, Iris Wiegand, Mark Lavelle, Jeremy M. Wolfe, Keisuke Fukuda, Marius V. Peelen, Trafton W. Drew

This study investigates how visual working memory and long-term memory contribute to hybrid visual memory search using event-related potentials.

Journal of Cognitive Neuroscience · Oct 8, 2024Peer-reviewedNeuroscience

Guided Visual Search is associated with a feature-based priority map in early visual cortex

Katharina Duecker, Kimron L. Shapiro, Simon Hanslmayr, Benjamin James Griffiths, Yali Pan, Jeremy M. Wolfe, Ole B. Jensen

The paper shows that guided visual search enhances neuronal excitability to target features and reduces it to distractors in early visual cortex using MEG and RIFT.

bioRxiv · Oct 3, 2024 · PreprintNeuroscience