Adrien Doerig
Adrien Doerig
Postdoc, Donders Institute for Brain, Cognition & Behaviour
Verified email at
Cited by
Cited by
The unfolding argument: Why IIT and other causal structure theories cannot explain consciousness
A Doerig, A Schurger, K Hess, MH Herzog
Consciousness and cognition 72, 49-59, 2019
Hard criteria for empirical theories of consciousness
A Doerig, A Schurger, MH Herzog
Cognitive neuroscience 12 (2), 41-62, 2021
Beyond Bouma's window: How to explain global aspects of crowding?
A Doerig, A Bornet, R Rosenholtz, G Francis, AM Clarke, MH Herzog
PLoS computational biology 15 (5), e1006580, 2019
The role of one-shot learning in# TheDress
LD Daoudi, A Doerig, K Parkosadze, M Kunchulia, MH Herzog
Journal of Vision 17 (3), 15-15, 2017
All in good time: long-lasting postdictive effects reveal discrete perception
MH Herzog, L Drissi-Daoudi, A Doerig
Trends in Cognitive Sciences, 2020
Capsule networks as recurrent models of grouping and segmentation
A Doerig, L Schmittwilken, B Sayim, M Manassi, MH Herzog
PLoS computational biology 16 (7), e1008017, 2020
Crowding reveals fundamental differences in local vs. global processing in humans and machines
A Doerig, A Bornet, OH Choung, MH Herzog
Vision research 167, 39-45, 2020
Feature integration within discrete time windows
L Drissi-Daoudi, A Doerig, MH Herzog
Nature communications 10 (1), 1-8, 2019
How best to unify crowding?
MV Pachai, AC Doerig, MH Herzog
Current Biology 26 (9), R352-R353, 2016
Building perception block by block: a response to Fekete et al.
A Doerig, F Scharnowski, MH Herzog
Neuroscience of consciousness 2019 (1), niy012, 2019
A new empirical challenge for local theories of consciousness
M Michel, A Doerig
Mind & Language, 2021
How stable is perception in# TheDress and# TheShoe?
L Drissi-Daoudi, A Doerig, K Parkosadze, M Kunchulia, MH Herzog
Vision research 169, 1-5, 2020
Shrinking Bouma’s window: How to model crowding in dense displays
A Bornet, A Doerig, MH Herzog, G Francis, E Van der Burg
PLoS computational biology 17 (7), e1009187, 2021
Towards Global Recurrent Models of Visual Processing: Capsule Networks
A Doerig, L Schmittwilken, M Manassi, MH Herzog
Conference on Cognitive Computational Neuroscience, Submission ID 1066, 2019
Shrinking Bouma's window: Visual crowding in dense displays
A Bornet, A Doerig, G Francis, MH Herzog, E Van der Burg
Perception 48 (CONF), 27-27, 2019
Crowding asymmetries in a neural model of image segmentation
A Bornet, A Doerig, M Herzog, G Francis
Journal of Vision 17 (10), 365-365, 2017
How crowding challenges (feedforward) convolutional neural networks
B Lonnqvist, A Doerig, A Bornet, G Francis, L Schmittwilken, MH Herzog
Journal of Vision 21 (9), 2039-2039, 2021
Why our best theories of perception and physics undermine realism
MH Herzog, A Doerig
PsyArXiv, 2021
A comparative biology approach to DNN modeling of vision: A focus on differences, not similarities
B Lonnqvist, A Bornet, A Doerig, MH Herzog
Journal of Vision 21 (10), 17-17, 2021
Dissecting (un) crowding
OH Choung, A Bornet, A Doerig, MH Herzog
Journal of vision 21 (10), 10-10, 2021
The system can't perform the operation now. Try again later.
Articles 1–20