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Vision Sciences Society Annual Meeting Abstract September 2024

Interpreting distributed population codes with feature-accentuated visual encoding models

Jacob S. Prince; Christopher Hamblin; George A. Alvarez; Talia Konkle

Journal of Vision. 2024; 24(10):1223. https://doi.org/10.1167/jov.24.10.1223

Vision Sciences Society Annual Meeting Abstract September 2024

Diverse visual feature selectivity is enabled through inhibitory feature surrounds in deep neural network models

Christopher Hamblin; Talia Konkle; George Alvarez

Journal of Vision. 2024; 24(10):1192. https://doi.org/10.1167/jov.24.10.1192

Vision Sciences Society Annual Meeting Abstract August 2023

Uncovering the hidden computations of deep neural networks by tracing the trajectory manifold from images to feature activations

Christopher Hamblin; Talia Konkle; George Alvarez

Journal of Vision. 2023; 23(9):5671. https://doi.org/10.1167/jov.23.9.5671

Vision Sciences Society Annual Meeting Abstract December 2022

Understanding the invariances of visual features with separable subnetworks

Christopher Hamblin; Talia Konkle; George Alvarez

Journal of Vision. 2022; 22(14):4237. https://doi.org/10.1167/jov.22.14.4237

Vision Sciences Society Annual Meeting Abstract September 2021

VISCNN: A tool for Visualizing Interpretable Subgraphs in CNNs

Christopher Hamblin; George Alvarez

Journal of Vision. 2021; 21(9):2674. https://doi.org/10.1167/jov.21.9.2674

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