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Vision Sciences Society Annual Meeting Abstract September 2024

Behavioral and neural signatures of object-based attention in the human visual system

Frank Tong; Sonia Poltoratski; David Coggan; Lasyapriya Pidaparthi; Elias Cohen

Journal of Vision. 2024; 24(10):223. https://doi.org/10.1167/jov.24.10.223

Vision Sciences Society Annual Meeting Abstract September 2024

Naturalistic dataset augmentation and self-supervised learning lead to more human-like recognition of occluded objects in convolutional neural networks

David Coggan; Frank Tong

Journal of Vision. 2024; 24(10):1335. https://doi.org/10.1167/jov.24.10.1335

Vision Sciences Society Annual Meeting Abstract August 2023

Unsupervised contrastive learning and supervised classification training have opposite effects on the human-likeness of CNNs during occluded object processing

David Coggan; Frank Tong

Journal of Vision. 2023; 23(9):5448. https://doi.org/10.1167/jov.23.9.5448

Vision Sciences Society Annual Meeting Abstract August 2023

Discovery of sharper orientation-tuned surround suppression for oblique than cardinal orientations provides support for a multi-stage model of normalization

Hui-Yuan Miao; David Coggan; Frank Tong

Journal of Vision. 2023; 23(9):5426. https://doi.org/10.1167/jov.23.9.5426

Vision Sciences Society Annual Meeting Abstract December 2022

Evidence for full amodal completion of occluded images in low- and high-level ventral visual cortex.

David Coggan; Frank Tong

Journal of Vision. 2022; 22(14):4230. https://doi.org/10.1167/jov.22.14.4230

Vision Sciences Society Annual Meeting Abstract September 2021

Maps of object animacy and aspect ratio in human high-level visual cortex.

David Coggan; Frank Tong

Journal of Vision. 2021; 21(9):2811. https://doi.org/10.1167/jov.21.9.2811

Vision Sciences Society Annual Meeting Abstract September 2019

Category-selective patterns of neural response to objects with similar image properties, but different semantic properties.

Timothy J Andrews; Afrodite Giannkopoulou; Sanah Ali; Burcu Goz; David D Coggan

Journal of Vision. 2019; 19(10):114c. https://doi.org/10.1167/19.10.114c

Vision Sciences Society Annual Meeting Abstract August 2017

A data-driven approach to stimulus selection reveals the importance of visual properties in the neural representation of objects.

David Coggan; David Watson; Tom Hartley; Daniel Baker; Timothy Andrews

Journal of Vision. 2017; 17(10):29. https://doi.org/10.1167/17.10.29

Vision Sciences Society Annual Meeting Abstract September 2016

Investigating the temporal properties of visual object processing using a multivariate analysis of EEG data.

David Coggan; Timothy Andrews; Daniel Baker

Journal of Vision. 2016; 16(12):1311. https://doi.org/10.1167/16.12.1311

Vision Sciences Society Annual Meeting Abstract September 2015

Category-selective patterns of neural response to scrambled images in the ventral visual pathway.

David Coggan; Wanling Liu; Daniel Baker; Timothy Andrews

Journal of Vision. 2015; 15(12):622. https://doi.org/10.1167/15.12.622

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