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JohnMark Taylor

Showing results (1-10 of 11) with videos related to

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Neuroimage|February 5, 2022
Representation of color, form, and their conjunction across the human ventral visual pathwayJohnMark Taylor, Yaoda Xu
Scientific Reports|September 1, 2023
Extracting and visualizing hidden activations and computational graphs of PyTorch models with TorchLensJohnMark Taylor, Nikolaus Kriegeskorte
Biorxiv : the Preprint Server for Biology|March 30, 2023
TorchLens: A Python package for extracting and visualizing hidden activations of PyTorch modelsJohnMark Taylor, Nikolaus Kriegeskorte
Cognitive Neuropsychology|February 21, 2022
Identifying the neural loci mediating conscious object orientation perception using fMRI MVPAJohnMark Taylor, Yaoda Xu
Plos One|June 30, 2021
Joint representation of color and form in convolutional neural networks: A stimulus-rich network perspectiveJohnMark Taylor, Yaoda Xu
Imaging Neuroscience (Cambridge, Mass.)|June 19, 2025
Using fMRI to examine nonlinear mixed selectivity tuning to task and category in the human brainJohnMark Taylor, Yaoda Xu
Journal 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 Xu
Biological Psychology|June 1, 2016
Electrophysiological correlates of face-evoked person knowledgeJohnMark Taylor, Zarrar Shehzad, Gregory McCarthy
Journal 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 Xu
Imaging 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.
Pageof 2

Showing results (1-10 of 11) with videos related to

Sort By:
Pageof 2
Neuroimage|February 5, 2022
Representation of color, form, and their conjunction across the human ventral visual pathwayJohnMark Taylor, Yaoda Xu
Scientific Reports|September 1, 2023
Extracting and visualizing hidden activations and computational graphs of PyTorch models with TorchLensJohnMark Taylor, Nikolaus Kriegeskorte
Biorxiv : the Preprint Server for Biology|March 30, 2023
TorchLens: A Python package for extracting and visualizing hidden activations of PyTorch modelsJohnMark Taylor, Nikolaus Kriegeskorte
Cognitive Neuropsychology|February 21, 2022
Identifying the neural loci mediating conscious object orientation perception using fMRI MVPAJohnMark Taylor, Yaoda Xu
Plos One|June 30, 2021
Joint representation of color and form in convolutional neural networks: A stimulus-rich network perspectiveJohnMark Taylor, Yaoda Xu
Imaging Neuroscience (Cambridge, Mass.)|June 19, 2025
Using fMRI to examine nonlinear mixed selectivity tuning to task and category in the human brainJohnMark Taylor, Yaoda Xu
Journal 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 Xu
Biological Psychology|June 1, 2016
Electrophysiological correlates of face-evoked person knowledgeJohnMark Taylor, Zarrar Shehzad, Gregory McCarthy
Journal 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 Xu
Imaging 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.
Pageof 2