Journal of NeuroscienceNeurosciencePeer-reviewed journal article
The role of meaning in visual memory: Face-selective brain activity predicts memory for ambiguous face stimuli
Abstract
How people process images is known to affect memory for those images, but these effects have typically been studied using explicit task instructions to vary encoding. Here, we investigate the effects of intrinsic variation in processing on subsequent memory, testing whether recognizing an ambiguous stimulus as meaningful (as a face vs. as shape blobs) predicts subsequent visual memory even when matching the perceptual features and the encoding strategy between subsequently remembered and subsequently forgotten items. We show that single trial EEG activity can predict whether participants will subsequently remember an ambiguous Mooney face image (e.g., an image that will sometimes be seen as a face and sometimes not be seen as a face). In addition, we show that a classifier trained only to discriminate between whether participants perceive a face vs. non-face can generalize to predict whether an ambiguous image is subsequently remembered. Furthermore, when we examine the N170, an ERP index of face processing, we find that images that elicit larger N170s are more likely to be remembered than those that elicit smaller N170s, even when the exact same image elicited larger or smaller N170s across participants. Thus, images processed as meaningful - in this case as a face-during encoding are better remembered than identical images that are not processed as a face. This provides strong evidence that understanding the meaning of a stimulus during encoding plays a critical role in visual memory.\n\nSignificance StatementIs visual memory inherently visual or does meaning and other conceptual information necessarily play a role even in memory for detailed visual information? Here we show that its easier to remember an image when its processed in a meaningful way -- as indexed by the amount of category-specific brain activity it elicits. In particular, we use single-trial EEG activity to predict whether an image will be subsequently remembered, and show that the main driver of this prediction ability is whether or not an image is seen as meaningful or non-meaningful. This shows that the extent to which an image is processed as meaningful can be used to predict subsequent memory even when controlling for perceptual factors and encoding strategies that typically differ across images.
- organism: human
- assay: electronic health records
- research focus: differential expression
- approach: statistical model
- Citations
- 33
- FWCI
- 1.78
- Field percentile
- top 17%
Reproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- From what we perceive to what we remember: Characterizing representational dynamics of visual memorability
Seyed-Mahdi Khaligh-Razavi, Wilma A. Bainbridge, … Aude Oliva·bioRxiv·Apr 22, 2016
- Neural computations of visual, semantic, and memorability features in the human brain
Yue Wang, Peter Brunner, … Shuo Wang·bioRxiv·Sep 6, 2025
- Face in the facade: How face-likeness modulates memory and neural representations
Claire Pauley, Izabela Maria Sztuka, … Simone Kühn·bioRxiv·May 11, 2026
- A novel source of variation in IT population response magnitude predicts image memorability
Andrew Jaegle, Vahid Mehrpour, … Nicole C. Rust·eLifePeer-reviewed·Aug 29, 2019
- Working memory signals in early visual cortex do not depend on visual imagery
Simon Weber, Thomas B. Christophel, … John–Dylan Haynes·bioRxiv·Feb 13, 2023
- Real-world objects scaffold visual working memory for features: Increased neural engagement when colors are remembered as part of meaningful objects
Yong Hoon Chung, Timothy F. Brady, Viola S. Störmer·Journal of Cognitive NeurosciencePeer-reviewed·Jan 1, 2026