| Joint representation of color and form in convolutional neural networks: A stimulus-rich network perspective JM Taylor, Y Xu Plos one 16 (6), e0253442, 2021 | 40 | 2021 |
| Spatial frequency tolerant visual object representations in the human ventral and dorsal visual processing pathways M Vaziri-Pashkam, JM Taylor, Y Xu Journal of cognitive neuroscience 31 (1), 49-63, 2019 | 33 | 2019 |
| Representation of color, form, and their conjunction across the human ventral visual pathway JM Taylor, Y Xu NeuroImage 251, 118941, 2022 | 21 | 2022 |
| Electrophysiological correlates of face-evoked person knowledge JM Taylor, Z Shehzad, G McCarthy Biological psychology 118, 136-146, 2016 | 19 | 2016 |
| Mirror neurons after a quarter century: new light, new cracks JM Taylor Science in the News (Harvard University blog), 2016 | 12 | 2016 |
| Extracting and visualizing hidden activations and computational graphs of PyTorch models with TorchLens JM Taylor, N Kriegeskorte Scientific Reports 13 (1), 14375, 2023 | 3 | 2023 |
| Deep neural networks are not a single hypothesis but a language for expressing computational hypotheses T Golan, JM Taylor, H Schütt, B Peters, RP Sommers, K Seeliger, ... PsyArXiv, 2023 | 3 | 2023 |
| Identifying the neural loci mediating conscious object orientation perception using fMRI MVPA JM Taylor, Y Xu Cognitive Neuropsychology, 1-4, 2022 | 3 | 2022 |
| Conjunctive Coding of Color and Shape in Convolutional Neural Networks JM Taylor, Y Xu Journal of Vision 20 (11), 400-400, 2020 | 3 | 2020 |
| Comparing the Dominance of Color and Form Information across the Human Ventral Visual Pathway and Convolutional Neural Networks JM Taylor, Y Xu Journal of Cognitive Neuroscience 35 (5), 816-840, 2023 | 1 | 2023 |
| Torchlens: A Python package for extracting and visualizing all hidden layer activations from arbitrary PyTorch models with minimal code JM Taylor, N Kriegeskorte Journal of Vision 23 (9), 5769-5769, 2023 | | 2023 |
| TorchLens: A Python package for extracting and visualizing hidden activations of PyTorch models JM Taylor, N Kriegeskorte bioRxiv, 2023 | | 2023 |
| Localized and Distributed Representations of Person Knowledge for Faces Z Shehzad, JM Taylor, G McCarthy bioRxiv, 2022 | | 2022 |
| The relative coding strength of color and form in the human ventral visual pathway and convolutional neural networks JM Taylor, Y Xu Journal of Vision 21 (9), 1845-1845, 2021 | | 2021 |
| Population Coding for Multiple Features in the Human Brain and Convolutional Neural Networks JM Taylor | | 2021 |
| Joint Representation of Color and Shape in Convolutional Neural Networks: A Stimulus-rich Network Perspective JM Taylor, Y Xu bioRxiv, 2020 | | 2020 |
| The Coding of Color, Shape, and their Conjunction Across the Human Ventral Visual System JME Taylor, Y Xu Journal of Vision 19 (10), 89a-89a, 2019 | | 2019 |
| Probing mixed selectivity with fMRI voxel analysis Y Xu, JM Taylor, M Vaziri-Pashkam Journal of Vision 18 (10), 1224-1224, 2018 | | 2018 |
| Effect of Task on Object Category Representations Across Human Ventral, Dorsal, and Frontal Brain Regions JM Taylor, M Vaziri-Pashkam, Y Xu Journal of Vision 17 (10), 287-287, 2017 | | 2017 |
