ArticleNature human behaviour2020
Revealing the multidimensional mental representations of natural objects underlying human similarity judgements.
Article in Nature human behaviour, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 126 papers.
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126 citing papers in PubMed.
- A topic-based framework for interpretable and sparse semantic representations.Behavior research methods · 2026Article
- How are woodworking and baking represented as we walk from the workshop to the kitchen? Virtual reality environment modulates the representation of corresponding actions.Psychonomic bulletin & review · 2026Article
- Task-dependent pupillary responses to glossiness and attractiveness judgments.Journal of vision · 2026Article
- A solution to generalized learning from small training sets found in infants' repeated visual experiences of individual objects.Proceedings of the National Academy of Sciences of the United States of America · 2026Article
- Food, mammals, & countries: Stimuli, their pairwise similarities, and MDS dimension values for modeling judgment, categorization, and memory in three real-world domains.Behavior research methods · 2026Article
- Multidimensional Feature Tuning in Category Selective Areas of Human Visual Cortex.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2026Article
- Disentangling objects' contextual associations from perceptual and conceptual attributes using time-resolved neural decoding.Journal of vision · 2026Article
- A flexible behavioral method for measuring human and artificial intelligence alignment using representational similarity analysis.iScience · 2026Article
- Shape-similarity gain: A selection profile for simple objects.Attention, perception & psychophysics · 2026Article
- Category selectivity observed in the human brain is distinct from category selectivity observed in artificial neural networks.bioRxiv : the preprint server for biology · 2026Article
- A dynamic stimulus distribution methodology for efficient large-scale pairwise relational data collection.MethodsX · 2026Article
- Towards a Mathematical Structure of Global Phenomenal Consciousness.Entropy (Basel, Switzerland) · 2026Article
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- A neural network for modeling human concept formation, understanding and communication.Nature computational science · 2026Article
- Centroid analysis: Inferring concept representations from open-ended word responses.Behavior research methods · 2026Article
- Respiratory phase alignment across memory encoding and retrieval improves task efficiency.Scientific reports · 2026Article
- A multidimensional-scaling study of images from diverse everyday-object categories.Behavior research methods · 2026Article
- Spatial and semantic memory reorganize a hippocampal long-axis gradient.Proceedings of the National Academy of Sciences of the United States of America · 2026Article
- Rethinking category-selectivity in human visual cortex.Cognitive neuroscience · 2026Review
- Human-like cognitive generalization for large models via mental representation-guided supervision.Nature communications · 2026Article
66 more citing papers are in PubMed but not listed here.
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4 authors.
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Abstract
Objects can be characterized according to a vast number of possible criteria (such as animacy, shape, colour and function), but some dimensions are more useful than others for making sense of the objects around us. To identify these core dimensions of object representations, we developed a data-driven computational model of similarity judgements for real-world images of 1,854 objects. The model captured most explainable variance in similarity judgements and produced 49 highly reproducible and meaningful object dimensions that reflect various conceptual and perceptual properties of those objects. These dimensions predicted external categorization behaviour and reflected typicality judgements of those categories. Furthermore, humans can accurately rate objects along these dimensions, highlighting their interpretability and opening up a way to generate similarity estimates from object dimensions alone. Collectively, these results demonstrate that human similarity judgements can be captured by a fairly low-dimensional, interpretable embedding that generalizes to external behaviour.
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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.