| Origins of the specialization for letters and numbers in ventral occipitotemporal cortex T Hannagan, A Amedi, L Cohen, G Dehaene-Lambertz, S Dehaene Trends in cognitive sciences 19 (7), 374-382, 2015 | 223 | 2015 |
| Spoken word recognition without a TRACE T Hannagan, JS Magnuson, J Grainger Frontiers in psychology, 563, 2013 | 80 | 2013 |
| How does literacy break mirror invariance in the visual system? F Pegado, K Nakamura, T Hannagan Frontiers in Psychology 5, 703, 2014 | 51 | 2014 |
| Transposed-letter effects reveal orthographic processing in baboons JC Ziegler, T Hannagan, S Dufau, M Montant, J Fagot, J Grainger Psychological science 24 (8), 1609-1611, 2013 | 42 | 2013 |
| Holographic string encoding T Hannagan, E Dupoux, A Christophe Cognitive science 35 (1), 79-118, 2011 | 38 | 2011 |
| What is special about orthographic processing? J Grainger, T Hannagan Written Language & Literacy 17 (2), 225-252, 2014 | 37 | 2014 |
| Protein analysis meets visual word recognition: A case for string kernels in the brain T Hannagan, J Grainger Cognitive Science 36 (4), 575-606, 2012 | 36 | 2012 |
| Deciphering CAPTCHAs: What a Turing test reveals about human cognition T Hannagan, M Ktori, M Chanceaux, J Grainger PloS one 7 (3), e32121, 2012 | 29 | 2012 |
| A random-matrix theory of the number sense T Hannagan, A Nieder, P Viswanathan, S Dehaene Philosophical Transactions of the Royal Society B: Biological Sciences 373 …, 2018 | 28 | 2018 |
| Deep learning of orthographic representations in baboons T Hannagan, JC Ziegler, S Dufau, J Fagot, J Grainger PLoS One 9 (1), e84843, 2014 | 27 | 2014 |
| Emergence of a compositional neural code for written words: Recycling of a convolutional neural network for reading T Hannagan, A Agrawal, L Cohen, S Dehaene Proceedings of the National Academy of Sciences 118 (46), e2104779118, 2021 | 26 | 2021 |
| On the time-course of adjacent and non-adjacent transposed-letter priming M Ktori, B Kingma, T Hannagan, PJ Holcomb, J Grainger Journal of Cognitive Psychology 26 (5), 491-505, 2014 | 26 | 2014 |
| Broken symmetries in a location-invariant word recognition network T Hannagan, F Dandurand, J Grainger Neural Computation 23 (1), 251-283, 2011 | 18 | 2011 |
| Rethinking weight decay for efficient neural network pruning H Tessier, V Gripon, M Léonardon, M Arzel, T Hannagan, D Bertrand Journal of Imaging 8 (3), 64, 2022 | 17 | 2022 |
| Computational models of location-invariant orthographic processing F Dandurand, T Hannagan, J Grainger Connection Science 25 (1), 1-26, 2013 | 16 | 2013 |
| Path planning for autonomous platoon formation E Ganaoui-Mourlan, S Camp, T Hannagan, V Arora, M De Neuville, ... Sustainability 13 (9), 4668, 2021 | 9 | 2021 |
| Learning diagnostic features: The delta rule does Bubbles T Hannagan, J Grainger Journal of Vision 13 (8), 17-17, 2013 | 9 | 2013 |
| Energy consumption analysis of pruned semantic segmentation networks on an embedded gpu H Tessier, V Gripon, M Léonardon, M Arzel, D Bertrand, T Hannagan International Conference on System-Integrated Intelligence, 553-563, 2022 | 4 | 2022 |
| Simulating the emergence of the Visual Word Form Area: Recycling a convolutional neural network for reading T Hannagan, A Agrawal, L Cohen, S Dehaene bioRxiv, 2021.02. 15.431235, 2021 | 4 | 2021 |
| The lazy Visual Word Form Area: computational insights into location-sensitivity T Hannagan, J Grainger PLoS Computational Biology 9 (10), e1003250, 2013 | 4 | 2013 |
