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Journal of Vision (6)

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Vision Sciences Society Annual Meeting Abstract (5)
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Article June 2024

Convolutional neural network models applied to neuronal responses in macaque V1 reveal limited nonlinear processing

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Hui-Yuan Miao; Frank Tong
TAGS: convolutional neural networks, macaca, neurons, natural scenes, pixel, filters
Journal of Vision. 2024; 24(6):1. https://doi.org/10.1167/jov.24.6.1

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 August 2023

Using computer-simulated lung nodules to evaluate the effects of prevalence rate on perceptual learning of lung nodule detection in initially naïve observers

Frank Tong; Hui-Yuan Miao; Hojin Jang; Edwin Donnelly

Journal of Vision. 2023; 23(9):5359. https://doi.org/10.1167/jov.23.9.5359

Vision Sciences Society Annual Meeting Abstract August 2023

The role of scene context in object recognition by humans and convolutional neural networks

Haley G. Frey; Hojin Jang; Hui-Yuan Miao; Frank Tong

Journal of Vision. 2023; 23(9):5698. https://doi.org/10.1167/jov.23.9.5698

Vision Sciences Society Annual Meeting Abstract December 2022

How many non-linear computations are required for CNNs to account for the response properties of the primary visual cortex (V1)?

Hui-Yuan Miao; Hojin Jang; Frank Tong

Journal of Vision. 2022; 22(14):4172. https://doi.org/10.1167/jov.22.14.4172

Vision Sciences Society Annual Meeting Abstract September 2021

When participants report zero confidence in their visual working memory, how much information do they really have?

Hui-Yuan Miao; Frank Tong

Journal of Vision. 2021; 21(9):2661. https://doi.org/10.1167/jov.21.9.2661

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Online ISSN: 1534-7362

Investigative Ophthalmology & Visual Science
Journal of Vision
Translational Vision Science & Technology

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