ArticleNeuroImage2019
Similarity judgments and cortical visual responses reflect different properties of object and scene categories in naturalistic images.
Article in NeuroImage, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.
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Who cites it
30 citing papers in PubMed.
- Auditory perceptual maps in humans and mice share common structures and predict perceptual decisions in discrimination learning.Communications psychology · 2026Article
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- Hippocampal transformations occur along dimensions of memory interference.bioRxiv : the preprint server for biology · 2025Article
- Task-relevant representational spaces in human memory traces.PLoS computational biology · 2025Article
- Representation of locomotive action affordances in human behavior, brains, and deep neural networks.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- Neural and behavioral similarity-driven tuning curves for manipulable objects.Imaging neuroscience (Cambridge, Mass.) · 2025Article
- Identifying and characterizing scene representations relevant for categorization behavior.Imaging neuroscience (Cambridge, Mass.) · 2025Article
- Dimensions underlying the representational alignment of deep neural networks with humans.Nature machine intelligence · 2025Article
- A computational deep learning investigation of animacy perception in the human brain.Communications biology · 2024Article
- Reconciling category exceptions through representational shifts.Psychonomic bulletin & review · 2024Article
- Connectivity analyses for task-based fMRI.Physics of life reviews · 2024Review
- Visual Recognition Memory of Scenes Is Driven by Categorical, Not Sensory, Visual Representations.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2024Article
- Naturalistic food categories are driven by subjective estimates rather than objective measures of food qualities.Food quality and preference · 2024Article
- The Geometry of Low- and High-Level Perceptual Spaces.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2024Article
- Many but not all deep neural network audio models capture brain responses and exhibit correspondence between model stages and brain regions.PLoS biology · 2023Article
- Empirically Identifying and Computationally Modeling the Brain-Behavior Relationship for Human Scene Categorization.Journal of cognitive neuroscience · 2023Article
- Equivalent processing of facial expression and identity by macaque visual system and task-optimized neural network.NeuroImage · 2023Article
- Article
- Neural representations of the perception of handwritten digits and visual objects from a convolutional neural network compared to humans.Human brain mapping · 2023Article
- Disentangling five dimensions of animacy in human brain and behaviour.Communications biology · 2022Article
Corrections and comments
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Authors and funding
5 authors.
Funding
Abstract
Numerous factors have been reported to underlie the representation of complex images in high-level human visual cortex, including categories (e.g. faces, objects, scenes), animacy, and real-world size, but the extent to which this organization reflects behavioral judgments of real-world stimuli is unclear. Here, we compared representations derived from explicit behavioral similarity judgments and ultra-high field (7T) fMRI of human visual cortex for multiple exemplars of a diverse set of naturalistic images from 48 object and scene categories. While there was a significant correlation between similarity judgments and fMRI responses, there were striking differences between the two representational spaces. Behavioral judgements primarily revealed a coarse division between man-made (including humans) and natural (including animals) images, with clear groupings of conceptually-related categories (e.g. transportation, animals), while these conceptual groupings were largely absent in the fMRI representations. Instead, fMRI responses primarily seemed to reflect a separation of both human and non-human faces/bodies from all other categories. Further, comparison of the behavioral and fMRI representational spaces with those derived from the layers of a deep neural network (DNN) showed a strong correspondence with behavior in the top-most layer and with fMRI in the mid-level layers. These results suggest a complex relationship between localized responses in high-level visual cortex and behavioral similarity judgments - each domain reflects different properties of the images, and responses in high-level visual cortex may correspond to intermediate stages of processing between basic visual features and the conceptual categories that dominate the behavioral response.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.