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Jessica Loke
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On the necessity of recurrent processing during object recognition: it depends on the need for scene segmentation
N Seijdel, J Loke, R Van de Klundert, M Van der Meer, E Quispel, ...
Journal of Neuroscience 41 (29), 6281-6289, 2021
192021
A Critical Test of Deep Convolutional Neural Networks' Ability to Capture Recurrent Processing in the Brain Using Visual Masking
J Loke, N Seijdel, L Snoek, M Van der Meer, R Van de Klundert, ...
Journal of cognitive neuroscience 34 (12), 2390-2405, 2022
42022
Human visual cortex and deep convolutional neural network care deeply about object background
J Loke, N Seijdel, L Snoek, LKA Sörensen, R van de Klundert, ...
Journal of Cognitive Neuroscience 36 (3), 551-566, 2024
22024
Saliency Suppressed, Semantics Surfaced: Visual Transformations in Neural Networks and the Brain
G Opiełka, J Loke, S Scholte
arXiv preprint arXiv:2404.18772, 2024
2024
A critical test of deep convolutional neural networks’ ability to capture recurrent processing using visual masking.
J Loke, N Seijdel, L Snoek, R van de Klundert, M van der Meer, E Quispel, ...
Journal of Vision 22 (14), 3651-3651, 2022
2022
Decoding the Order of Visual Operations
J Loke, N Seijdel, HS Scholte
PERCEPTION 48, 115-115, 2019
2019
Convolutional neural networks align early in training with neural representations
HS Scholte, J Smidi, J Loke, N Muller, IIA Groen, MAJ van Gerven
Deep Neural Networks Are Predictive of Neural Data Through Textures
J Loke
Department of Psychology, University of Amsterdam, 0
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