JohnMark Taylor

Allen Institute for Brain Science — United States

Neuroscience · Life Sciences

8h-index187citations34works0.82yr avg
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Research Topics

Face Recognition and Perception(16), Visual perception and processing mechanisms(14), Neural dynamics and brain function(12), Visual Attention and Saliency Detection(7), Machine Learning in Materials Science(4)

Publications34 total

A Python Toolbox for Representational Similarity Analysis
2025Open Access
A Python Toolbox for Representational Similarity Analysis
2025· 1 citedOpen Access
Author response: A Python Toolbox for Representational Similarity Analysis
2025Open Access
Framed RSA: Representational comparisons that honor both geometry and population-mean response preferences
2025Open Access
Framed RSA: honoring representational geometry and regional-mean response preferences
Journal of Vision·2025Open Access
A Python Toolbox for Representational Similarity Analysis
2025· 2 citedOpen Access
Conjunctive representation of colors and shapes in human occipitotemporal and posterior parietal cortices
Journal of Vision·2024Open Access
Using fMRI to examine nonlinear mixed selectivity tuning to task and category in the human brain
Imaging Neuroscience·2024· 3 citedOpen Access
Extracting and visualizing hidden activations and computational graphs of PyTorch models with TorchLens
Scientific Reports·2023· 14 citedOpen Access
Torchlens: A Python package for extracting and visualizing all hidden layer activations from arbitrary PyTorch models with minimal code
Journal of Vision·2023· 1 citedOpen Access
Exposing flaws of generative model evaluation metrics and their unfair treatment of diffusion models
arXiv (Cornell University)·2023· 20 citedOpen Access
TorchLens: A Python package for extracting and visualizing hidden activations of PyTorch models
Research Square (Research Square)·2023Open Access
Deep neural networks are not a single hypothesis but a language for expressing computational hypotheses
2023· 4 citedOpen Access
TorchLens: A Python package for extracting and visualizing hidden activations of PyTorch models
2023· 1 citedOpen Access
Comparing the Dominance of Color and Form Information across the Human Ventral Visual Pathway and Convolutional Neural Networks
Journal of Cognitive Neuroscience·2023· 1 citedOpen Access
Deep neural networks are not a single hypothesis but a language for expressing computational hypotheses
Behavioral and Brain Sciences·2023· 8 cited
TorchLens: A Python package for extracting and visualizing hidden activations of PyTorch models
2023Open Access
Localized and Distributed Representations of Person Knowledge for Faces
2022Open Access
Identifying the neural loci mediating conscious object orientation perception using fMRI MVPA
Cognitive Neuropsychology·2022· 3 citedOpen Access
Representation of color, form, and their conjunction across the human ventral visual pathway
NeuroImage·2022· 40 citedOpen Access
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Frequent Co-authors

Yaoda Xu(15), Nikolaus Kriegeskorte(13), Tal Golan(6), Heiko H. Schütt(6), Benjamin Peters(6), Jasper J.F. van den Bosch(4), Mahdiyar Shahbazi(4), Baihan Lin(4), Ian Charest(4), Jörn Diedrichsen(4), Marieke Mur(4), Maryam Vaziri-Pashkam(3), Zarrar Shehzad(2), Gregory McCarthy(2), Katja Seeliger(2), Adrien Doerig(2), Paul Linton(2), Talia Konkle(2), Marcel van Gerven(2), Konrad P. Körding(2)