Characterization of the spatiotemporal representations of visual, semantic, and memorability features in the human brain

Object recognition requires integrated processing that extends beyond the visual cortex, incorporating semantic and memory-related processes. However, it remains unclear how different attributes, such as visual, semantic, and memorability features, are encoded and interact during perception. Here, we recorded intracranial electroencephalography from 5,143 channels while participants viewed natural object images. We systematically characterized the spatiotemporal patterns of neural encoding for visual, semantic, and memorability attributes and showed that memorability was encoded in a distributed manner, which can be dissociated from visual and semantic coding. While the ventral temporal cortex (VTC) was engaged in encoding all three attributes, the representations were dissociable. Interestingly, memorability representations in the prefrontal cortex appeared to arise from integrated visual and semantic signals from the VTC; and memorability influenced early stages of visual and semantic processing. Our results were corroborated by high-resolution 7T fMRI, which revealed continuous encoding across the brain, and further validated using a separate dataset featuring within-category object variability. Lastly, single-neuron recordings confirmed semantic and memorability coding in the medial temporal lobe. Together, these findings provide a comprehensive view of how visual, semantic, and memorability attributes are dynamically encoded across the brain, highlighting the complex interplay between these attributes that collectively shape object recognition and memory formation.

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Publication Details

Journal
PLoS Biology
Published
2026-01-20
DOI
https://doi.org/10.1371/journal.pbio.3003614
Citations
1
Primary Topic
Face Recognition and Perception
Type
article
Field-Weighted Citation Impact
29.71
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article

Characterization of the spatiotemporal representations of visual, semantic, and memorability features in the human brain

Jon T. Willie, Runnan Cao, Shuo Wang, Yue Wang et al.
1 citations
PLoS Biology
Face Recognition and Perception
29.71
article

Characterization of the spatiotemporal representations of visual, semantic, and memorability features in the human brain

Jon T. Willie, Runnan Cao, Shuo Wang, Yue Wang, Peter Brunner
article en
1 citations

Abstract

Object recognition requires integrated processing that extends beyond the visual cortex, incorporating semantic and memory-related processes. However, it remains unclear how different attributes, such as visual, semantic, and memorability features, are encoded and interact during perception. Here, we recorded intracranial electroencephalography from 5,143 channels while participants viewed natural object images. We systematically characterized the spatiotemporal patterns of neural encoding for visual, semantic, and memorability attributes and showed that memorability was encoded in a distributed manner, which can be dissociated from visual and semantic coding. While the ventral temporal cortex (VTC) was engaged in encoding all three attributes, the representations were dissociable. Interestingly, memorability representations in the prefrontal cortex appeared to arise from integrated visual and semantic signals from the VTC; and memorability influenced early stages of visual and semantic processing. Our results were corroborated by high-resolution 7T fMRI, which revealed continuous encoding across the brain, and further validated using a separate dataset featuring within-category object variability. Lastly, single-neuron recordings confirmed semantic and memorability coding in the medial temporal lobe. Together, these findings provide a comprehensive view of how visual, semantic, and memorability attributes are dynamically encoded across the brain, highlighting the complex interplay between these attributes that collectively shape object recognition and memory formation.

PLoS BiologyVol. 24(1)
Washington University in St. Louis (US)
Openalex Percentile: Top 2%
Face Recognition and Perception
29.71
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