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Vision Sciences Society Annual Meeting Abstract September 2024

Comparing Convolutional Neural Networks to Traditional Models of Covert Attention During Visual Search

Ansh K. Soni; Sudhanshu Srivastava; Miguel P. Eckstein

Journal of Vision. 2024; 24(10):1497. https://doi.org/10.1167/jov.24.10.1497

Vision Sciences Society Annual Meeting Abstract September 2024

Mechanisms of a Convolutional Neural Network that Learns to Covertly Attend

Sudhanshu Srivastava; Miguel P Eckstein

Journal of Vision. 2024; 24(10):1312. https://doi.org/10.1167/jov.24.10.1312

Vision Sciences Society Annual Meeting Abstract August 2023

Lower Search Efficiency for Conjunction vs. Feature Search for Convolutional Neural Networks

Ansh K Soni; Sudhanshu Srivastava; Miguel P Eckstein

Journal of Vision. 2023; 23(9):5193. https://doi.org/10.1167/jov.23.9.5193

Vision Sciences Society Annual Meeting Abstract August 2023

Statistical Characterization of Attention Effects on the Contrast Tuning Functions Of Neuronal Populations of a Convolutional Neural Network

Sudhanshu Srivastava; Miguel P. Eckstein

Journal of Vision. 2023; 23(9):5941. https://doi.org/10.1167/jov.23.9.5941

Vision Sciences Society Annual Meeting Abstract December 2022

Statistical Characterization of a Convolutional Neural Network which learns Global Context During Search

Sudhanshu Srivastava; Miguel Eckstein

Journal of Vision. 2022; 22(14):4466. https://doi.org/10.1167/jov.22.14.4466

Vision Sciences Society Annual Meeting Abstract September 2021

Enhancing simulated prosthetic vision with deep learning–based scene simplification strategies

Aiwen Xu; Nicole Han; Sudhanshu Srivastava; Devi Klein; Michael Beyeler

Journal of Vision. 2021; 21(9):2308. https://doi.org/10.1167/jov.21.9.2308

Vision Sciences Society Annual Meeting Abstract September 2021

Neuronal Population Tuning Statistics to Target and Cues for a feed-Forward Convolutional Neural Network that Learns to Covertly Attend

Sudhanshu Srivastava; Miguel P. Eckstein

Journal of Vision. 2021; 21(9):2885. https://doi.org/10.1167/jov.21.9.2885

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