Author

Frank Earl Pollick

University of GlasgowORCID 0000-0002-7212-4622Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Assay:imaging· 3 Approach:statistical model· 3 Research Focus:benchmarking· 1 Research Focus:cell type annotation· 1 Research Focus:cell-cell communication· 1 Approach:experimental assay· 1 Organism:human· 1

Frequent Co-Authors

Catherine Neary· 1 shared Greta K. TodorovaiD· 1 shared Hongjing LuiD· 1 shared Jesús Alberto Rodríguez PéreziD· 1 shared Joseph M. BurlingiD· 1 shared Juha PajulaiD· 1 shared Jukka-Pekka Kauppi· 1 shared Julia A. Gillard· 1 shared

Activity by Year

2019-2024 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 12 mutual co-author links

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1 shared paperNeuroscience

Catherine Neary

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

Patterns of Saliency and Semantic Features Distinguish Gaze of Expert and Novice Viewers of Surveillance Footage

Yujia Peng, Joseph M. Burling, Greta K. Todorova, Catherine Neary, Frank Earl Pollick, Hongjing Lu

This study compares gaze patterns between CCTV experts and novices to identify differences in visual feature attention during surveillance footage analysis.

Psychonomic Bulletin & Review · Jan 25, 2024Peer-reviewedNeuroscience

Neural correlates of experience with CCTV surveillance of naturalistic prosocial and antisocial interactions: a reverse correlation analysis

Julia A. Gillard, Karin Petrini, Katie Noble, Jesús Alberto Rodríguez Pérez, Frank Earl Pollick

This study uses reverse correlation to examine how brain activity in experts and novices correlates with visual features in CCTV footage of prosocial and antisocial interactions.

bioRxiv · Jul 3, 2019 · PreprintNeuroscience

Comparing fMRI inter-subject correlations between groups using permutation tests

Jussi Tohka, Frank Earl Pollick, Juha Pajula, Jukka-Pekka Kauppi

The paper validates statistical methods for comparing inter-subject correlations between fMRI groups using permutation tests and recommends subject-wise permutations over element-wise ones.

bioRxiv · Apr 25, 2019 · PreprintNeuroscience