Author

Cambria Revsine

University of ChicagoORCID 0000-0002-7624-4357Unclaimed 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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Research Focus:benchmarking· 2 Assay:imaging· 2 Approach:statistical model· 2 Approach:experimental assay· 1 Organism:human· 1

Frequent Co-Authors

Wilma Alice BainbridgeiD· 2 shared Elisha P. MerriamiD· 1 shared Esther Goldberg· 1 shared Fernando RamíreziD· 1 shared Javier González-CastilloiD· 1 shared Peter A. BandettiniiD· 1 shared

Activity by Year

2023-2025 · peak 1/yr

Co-Author Collaboration Network

6 top collaborators · 7 mutual co-author links

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2 shared papersNeuroscience

Wilma Alice BainbridgeORCID

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3 papers

Recent·Most cited

The Memorability of Voices is Predictable and Consistent across Listeners

Cambria Revsine, Esther Goldberg, Wilma Alice Bainbridge

This study shows that voice memorability is consistent across listeners and can be predicted by voice features.

Nature Human Behaviour · Feb 26, 2025Peer-reviewedNeuroscience

A unifying model for discordant and concordant results in human neuroimaging studies of facial viewpoint selectivity

Cambria Revsine, Javier González-Castillo, Elisha P. Merriam, Peter A. Bandettini, Fernando Ramírez

The paper presents a network model that explains both concordant and discordant results in human neuroimaging studies of facial viewpoint selectivity by incorporating biological constraints and analyzing low-level stimulus biases.

Journal of Neuroscience · Mar 4, 2024Peer-reviewedNeuroscience

Learning Image Memorability with Feedback-Based Training

Cambria Revsine, Wilma Alice Bainbridge

This study shows that feedback-based training improves human ability to judge scene image memorability but not face image memorability, falling short of a leading deep learning model's performance.

bioRxiv · Dec 18, 2023 · PreprintNeuroscience