Author

Caitlin R. Mullin

KU Leuven

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· 4

Signature Assays, Organisms & Methods

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Organism:human· 3 Approach:statistical model· 3 Research Focus:benchmarking· 1 Assay:electronic health records· 1 Approach:experimental assay· 1 Assay:imaging· 1 Assay:multiome· 1

Frequent Co-Authors

Aude OlivaiD· 3 shared Yalda MohsenzadehiD· 3 shared Benjamin LahneriD· 2 shared Cees van LeeuweniD· 1 shared Chie NakataniiD· 1 shared Dimitrios PantazisiD· 1 shared Johan P. WagemansiD· 1 shared Radoslaw Martin CichyiD· 1 shared

Activity by Year

2017-2020 · peak 2/yr

Co-Author Collaboration Network

8 top collaborators · 11 mutual co-author links

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3 shared papersNeuroscience

Aude OlivaORCID

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4 papers

Recent·Most cited

Emergence of Visual Center-Periphery Spatial Organization in Deep Convolutional Neural Networks

Yalda Mohsenzadeh, Caitlin R. Mullin, Benjamin Lahner, Aude Oliva

This study shows that layers in deep convolutional neural networks exhibit spatial organization similar to human brain regions, with central and peripheral biases matching foveal and parahippocampal areas.

Scientific Reports · Mar 13, 2020Peer-reviewedNeuroscience

The Perceptual Neural Trace of Memorable Unseen Scenes

Yalda Mohsenzadeh, Caitlin R. Mullin, Aude Oliva, Dimitrios Pantazis

The paper identifies an early and prolonged neural signal of memorability during visual processing using MEG, detected outside subjective awareness.

Scientific Reports · Apr 15, 2019Peer-reviewedNeuroscience

Reliability and Generalizability of Similarity-Based Fusion of MEG and fMRI Data in Human Ventral and Dorsal Visual Streams

Yalda Mohsenzadeh, Caitlin R. Mullin, Benjamin Lahner, Radoslaw Martin Cichy, Aude Oliva

This study evaluates the reliability and generalizability of fMRI-MEG data fusion using representational similarity analysis in human visual streams.

Vision · Feb 10, 2019Peer-reviewedNeuroscience

Repetitive Transcranial Magnetic Stimulation Increases Phase-Amplitude Coupling

Chie Nakatani, Caitlin R. Mullin, Johan P. Wagemans, Cees van Leeuwen

This study shows that repetitive transcranial magnetic stimulation (rTMS) increases phase-amplitude coupling (PAC) in EEG signals, consistent with a neural mass model prediction.

bioRxiv · May 4, 2017 · PreprintNeuroscience