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Ethan O Nadler

Biographic Data

ID4601694
NAMEEthan O Nadler
GIVEN NAMESEthan
FAMILY NAMEO Nadler
SIGNATURENADLER E O
AFFILIATIONSDepartment of Astronomy & Astrophysics University of California San Diego
ORCID0000-0002-1182-3825
VERIFIEDYes
TOTAL WORKS3
TOTAL CITATIONS0
AUTHOR COUNT3
EDITOR COUNT0
FIRST PUBLICATION YEAR2020
LATEST PUBLICATION YEAR2025
H-INDEX0
  • Statistical or Embodied? Comparing Colorseeing, Colorblind, Painters, and Large Language Models in Their Processing of Color Metaphors

    Open Access•Ethan O Nadler, Douglas Guilbeault et al.•ARTICLE•Cognitive Science•2025•References: 98

    Can metaphorical reasoning involving embodied experience—such as color perception—be learned from the statistics of language alone? Recent work finds that colorblind individuals robustly understand and reason abstractly about color, implying that color associations in everyday language might contribute to the metaphorical understanding of color. However, it is unclear how much colorblind individuals’ understanding of color is driven by language v…

  • Divergences in color perception between deep neural networks and humans

    Open Access•Ethan O Nadler, Elise Darragh-Ford et al.•ARTICLE•Cognition•2023

    Deep neural networks (DNNs) are increasingly proposed as models of human vision, bolstered by their impressive performance on image classification and object recognition tasks. Yet, the extent to which DNNs capture fundamental aspects of human vision such as color perception remains unclear. Here, we develop novel experiments for evaluating the perceptual coherence of color embeddings in DNNs, and we assess how well these algorithms predict human…

  • Color associations in abstract semantic domains

    Open Access•Douglas Guilbeault, Ethan O Nadler et al.•ARTICLE•Cognition•2020

No prominent works on this page.

  • Color associations in abstract semantic domains

    Open Access•Douglas Guilbeault, Ethan O Nadler et al.•ARTICLE•Cognition•2020

  • Divergences in color perception between deep neural networks and humans

    Open Access•Ethan O Nadler, Elise Darragh-Ford et al.•ARTICLE•Cognition•2023

    Deep neural networks (DNNs) are increasingly proposed as models of human vision, bolstered by their impressive performance on image classification and object recognition tasks. Yet, the extent to which DNNs capture fundamental aspects of human vision such as color perception remains unclear. Here, we develop novel experiments for evaluating the perceptual coherence of color embeddings in DNNs, and we assess how well these algorithms predict human…

  • Statistical or Embodied? Comparing Colorseeing, Colorblind, Painters, and Large Language Models in Their Processing of Color Metaphors

    Open Access•Ethan O Nadler, Douglas Guilbeault et al.•ARTICLE•Cognitive Science•2025•References: 98

    Can metaphorical reasoning involving embodied experience—such as color perception—be learned from the statistics of language alone? Recent work finds that colorblind individuals robustly understand and reason abstractly about color, implying that color associations in everyday language might contribute to the metaphorical understanding of color. However, it is unclear how much colorblind individuals’ understanding of color is driven by language v…

Artificial Intelligence (3 works) · Categorization, perception, and language (3 works) · Computer Science (3 works) · Perception (3 works) · Psychology (3 works) · Artificial Intelligence (2 works) · Cognitive psychology (2 works) · Color perception and design (2 works) · Color vision (2 works) · Embodied cognition (2 works)

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