Compositional generalization in a deep seq2seq model by separating syntax and semantics J Russin, J Jo, RC O'Reilly, Y Bengio arXiv preprint arXiv:1904.09708, 2019 | 72 | 2019 |
Deep learning needs a prefrontal cortex J Russin, RC O’Reilly, Y Bengio Work Bridging AI Cogn Sci, ICLR, 2020 | 64 | 2020 |
Deep predictive learning in neocortex and pulvinar RC O'Reilly, JL Russin, M Zolfaghar, J Rohrlich Journal of Cognitive Neuroscience 33 (6), 1158-1196, 2021 | 42 | 2021 |
The Structure of Systematicity in the Brain RC O’Reilly, C Ranganath, JL Russin Current Directions in Psychological Science 31 (2), 124-130, 2022 | 28 | 2022 |
Compositional Generalization by Factorizing Alignment and Translation J Russin, J Jo, R O’Reilly, Y Bengio Proceedings of the 58th Annual Meeting of the Association for Computational …, 2020 | 24 | 2020 |
The relational bottleneck as an inductive bias for efficient abstraction TW Webb, SM Frankland, A Altabaa, S Segert, K Krishnamurthy, ... Trends in Cognitive Sciences, 2024 | 15 | 2024 |
A Neural Network Model of Continual Learning with Cognitive Control J Russin, M Zolfaghar, S Park, E Boorman, RC O’Reilly Proceedings for the 44th Annual Meeting of the Cognitive Science Society …, 2022 | 15 | 2022 |
Compositional processing emerges in neural networks solving math problems J Russin, R Fernandez, H Palangi, E Rosen, N Jojic, P Smolensky, J Gao CogSci... Annual Conference of the Cognitive Science Society. Cognitive …, 2021 | 14 | 2021 |
Systematicity in a Recurrent Neural Network by Factorizing Syntax and Semantics. JL Russin, J Jo, RC O'Reilly, Y Bengio CogSci, 2020 | 14* | 2020 |
How sequential interactive processing within frontostriatal loops supports a continuum of habitual to controlled processing RC O’Reilly, A Nair, JL Russin, SA Herd Frontiers in Psychology 11, 480929, 2020 | 13 | 2020 |
Complementary Structure-Learning Neural Networks for Relational Reasoning J Russin, M Zolfaghar, SA Park, E Boorman, RC O’Reilly CogSci... Annual Conference of the Cognitive Science Society. Cognitive …, 2021 | 9 | 2021 |
Effects of the presence and absence of amino acids on translation, signaling, and long‐term depression in hippocampal slices from Fmr1 knockout mice SK Cooke, J Russin, K Moulton, J Nadel, I Loutaev, Q Gu, Z Li, CB Smith Journal of Neurochemistry 151 (6), 764-776, 2019 | 8 | 2019 |
Computational models of motivated frontal function RC O’Reilly, J Russin, SA Herd Handbook of clinical neurology 163, 317-332, 2019 | 8 | 2019 |
The representational geometry of cognitive maps under dynamic cognitive control SA Park, M Zolfaghar, J Russin, DS Miller, RC O'Reilly, ED Boorman bioRxiv, 2023.02. 04.527142, 2023 | 3 | 2023 |
Systematicity Emerges in Transformers when Abstract Grammatical Roles Guide Attention AK Chakravarthy, JL Russin, R O’Reilly Proceedings of the 2022 Conference of the North American Chapter of the …, 2022 | 3 | 2022 |
The Geometry of Map-Like Representations under Dynamic Cognitive Control M Zolfaghar, J Russin, S Park, ED Boorman, RC O'Reilly Proceedings of the Annual Meeting of the Cognitive Science Society 44 (44), 2022 | 3 | 2022 |
Is human compositionality meta-learned? J Russin, SW McGrath, E Pavlick, MJ Frank | 2 | 2024 |
How Can Deep Neural Networks Inform Theory in Psychological Science? SW McGrath, J Russin, E Pavlick, R Feiman PsyArXiv, 2023 | 2 | 2023 |
Properties of LoTs: The footprints or the bear itself? S McGrath, J Russin, E Pavlick, R Feiman PsyArXiv, 2023 | 2 | 2023 |
From Frege to chatGPT: Compositionality in language, cognition, and deep neural networks J Russin, SW McGrath, DJ Williams, L Elber-Dorozko arXiv preprint arXiv:2405.15164, 2024 | 1 | 2024 |