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Neuroimage|February 5, 2022
Representation of color, form, and their conjunction across the human ventral visual pathwayJohnMark Taylor, Yaoda XuPlos One|June 30, 2021
Joint representation of color and form in convolutional neural networks: A stimulus-rich network perspectiveJohnMark Taylor, Yaoda XuImaging Neuroscience (Cambridge, Mass.)|June 19, 2025
Using fMRI to examine nonlinear mixed selectivity tuning to task and category in the human brainJohnMark Taylor, Yaoda XuJournal of Cognitive Neuroscience|March 6, 2023
Comparing the Dominance of Color and Form Information across the Human Ventral Visual Pathway and Convolutional Neural NetworksJohnMark Taylor, Yaoda XuJournal of Cognitive Neuroscience|September 7, 2018
Spatial Frequency Tolerant Visual Object Representations in the Human Ventral and Dorsal Visual Processing PathwaysMaryam Vaziri-Pashkam, JohnMark Taylor, Yaoda XuImaging Neuroscience (Cambridge, Mass.)|June 25, 2026
Interactive shape and color representation in visual working memory for colored objects in the human occipitotemporal cortexYaoda Xu, Benjamin Swinchoski, JohnMark Taylor, et al.Scientific Reports|September 1, 2023
Extracting and visualizing hidden activations and computational graphs of PyTorch models with TorchLensJohnMark Taylor, Nikolaus KriegeskorteBiorxiv : the Preprint Server for Biology|March 30, 2023
TorchLens: A Python package for extracting and visualizing hidden activations of PyTorch modelsJohnMark Taylor, Nikolaus KriegeskorteEneuro|June 5, 2025
Transformed Visual Working Memory Representations in Human Occipitotemporal and Posterior Parietal CorticesYaoda XuPerception & Psychophysics|January 10, 2003
Encoding color and shape from different parts of an object in visual short-term memoryYaoda XuPageof 7