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Vision Sciences Society Annual Meeting Abstract August 2023

Using convolutional neural networks to relate external sensory features to internal decisional evidence

Marshall Green; Mingjia Hu; Rachel Denison; Dobromir Rahnev

Journal of Vision. 2023; 23(9):5685. https://doi.org/10.1167/jov.23.9.5685

Vision Sciences Society Annual Meeting Abstract December 2022

Segmenting local features using global ensemble statistics is a discrete, all-or-none process

Marshall L. Green; Michael S. Pratte

Journal of Vision. 2022; 22(14):4301. https://doi.org/10.1167/jov.22.14.4301

Vision Sciences Society Annual Meeting Abstract October 2020

Access to sensory uncertainty in global motion perception depends on the stimulus

Marshall L. Green; Michael S. Pratte

Journal of Vision. 2020; 20(11):1513. https://doi.org/10.1167/jov.20.11.1513

Vision Sciences Society Annual Meeting Abstract September 2019

Consolidating Multiple Items Into Visual Working Memory is a Parallel and Remarkably Fast Process

Michael S Pratte; Marshall L Green

Journal of Vision. 2019; 19(10):40. https://doi.org/10.1167/19.10.40

Vision Sciences Society Annual Meeting Abstract September 2019

Global motion identification is incredibly precise, but lowering coherence increases the probability of total identification failures

Marshall L Green; Michael S Pratte

Journal of Vision. 2019; 19(10):295. https://doi.org/10.1167/19.10.295

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