Visual Noise from Natural Scene Statistics Reveals Human Scene Category Representations. - Michelle R. Greene; Abraham P. Botros; Diane M. Beck; Li Fei-Fei 001 (CoRR, 2014)

Affordances Provide a Fundamental Categorization Principle for Visual Scenes. - Michelle R. Greene; Christopher Baldassano; Andre Esteva; Diane M. Beck; Li Fei-Fei 001 (CoRR, 2014)

Basic Level Category Structure Emerges Gradually across Human Ventral Visual Cortex. - Marius Catalin Iordan; Michelle R. Greene; Diane M. Beck; Li Fei-Fei 001 (J. Cogn. Neurosci., 2015)

Typicality sharpens category representations in object-selective cortex. - Marius Catalin Iordan; Michelle R. Greene; Diane M. Beck; Li Fei-Fei 001 (NeuroImage, 2016)

Shared spatiotemporal category representations in biological and artificial deep neural networks. - Michelle R. Greene; Bruce C. Hansen (PLoS Comput. Biol., 2018)

Towards a state-space geometry of neural responses to natural scenes: A steady-state approach. - Bruce C. Hansen; David J. Field; Michelle R. Greene; Cassady Olson; Vladimir Miskovic (NeuroImage, 2019)

Assessing Neural Network Scene Classification from Degraded Images. - Timothy Tadros; Nicholas C. Cullen; Michelle R. Greene; Emily A. Cooper (ACM Trans. Appl. Percept., 2019)

Dynamic Electrode-to-Image (DETI) mapping reveals the human brain's spatiotemporal code of visual information. - Bruce C. Hansen; Michelle R. Greene; David J. Field (PLoS Comput. Biol., 2021)

Digital Divides in Scene Recognition: Uncovering Socioeconomic Biases in Deep Learning Systems. - Michelle R. Greene; Mariam Josyula; Wentao Si; Jennifer A. Hart (CoRR, 2024)

The Visual Experience Dataset: Over 200 Recorded Hours of Integrated Eye Movement, Odometry, and Egocentric Video. - Michelle R. Greene; Benjamin J. Balas; Mark D. Lescroart; Paul R. MacNeilage; Jennifer A. Hart; Kamran Binaee; Peter A. Hausamann; Ronald Mezile; Bharath Shankar; Christian B. Sinnott; Kaylie Jacleen Capurro; Savannah Halow; et al. (CoRR, 2024)

The Mind in the Machine: A Survey of Incorporating Psychological Theories in LLMs. - Zizhou Liu; Ziwei Gong; Lin Ai; Zheng Hui; Run Chen; Colin Wayne Leach; Michelle R. Greene; Julia Hirschberg (CoRR, 2025)