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Vision Sciences Society Annual Meeting Abstract December 2022

A critical test of deep convolutional neural networks’ ability to capture recurrent processing using visual masking.

Jessica Loke; Noor Seijdel; Lukas Snoek; Ron van de Klundert; Matthew van der Meer; Eva Quispel; Natalie Cappaert; H. Steven Scholte

Journal of Vision. 2022; 22(14):3651. https://doi.org/10.1167/jov.22.14.3651

Vision Sciences Society Annual Meeting Abstract August 2017

Comparing human and convolutional neural network performance on scene segmentation

Noor Seijdel; Max Losch; Edward De haan; Steven Scholte

Journal of Vision. 2017; 17(10):1344. https://doi.org/10.1167/17.10.1344

Vision Sciences Society Annual Meeting Abstract September 2016

Feature representations in networks trained with image sets of animate, inanimate or scenes differ in terms of computational filters but not in location in the brain

Max Losch; Noor Seijdel; Kandan Ramakrishnan; Cees Snoek; H.Steven Scholte

Journal of Vision. 2016; 16(12):175. https://doi.org/10.1167/16.12.175

Vision Sciences Society Annual Meeting Abstract September 2016

Overlap in performance of CNN's, human behavior and EEG classification

Noor Seijdel; Kandan Ramakrishnan; Max Losch; Steven Scholte

Journal of Vision. 2016; 16(12):501. https://doi.org/10.1167/16.12.501

Vision Sciences Society Annual Meeting Abstract September 2016

CNNs trained on places and animacy explain different patterns of variance for the same dataset.

H.Steven Scholte; Max Losch; Noor Seijdel; Kandan Ramakrishnan; Cees Snoek

Journal of Vision. 2016; 16(12):758. https://doi.org/10.1167/16.12.758

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