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Jacob Russin
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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
762019
Deep learning needs a prefrontal cortex
J Russin, RC O’Reilly, Y Bengio
Work Bridging AI Cogn Sci, ICLR, 2020
752020
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
492021
The Structure of Systematicity in the Brain
RC O’Reilly, C Ranganath, JL Russin
Current Directions in Psychological Science 31 (2), 124-130, 2022
322022
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
292020
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
282024
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
162022
Systematicity in a Recurrent Neural Network by Factorizing Syntax and Semantics.
JL Russin, J Jo, RC O'Reilly, Y Bengio
CogSci, 2020
16*2020
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
152021
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, 380, 2020
142020
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
102021
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
82019
Computational models of motivated frontal function
RC O’Reilly, J Russin, SA Herd
Handbook of clinical neurology 163, 317-332, 2019
82019
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
72024
How Can Deep Neural Networks Inform Theory in Psychological Science?
SW McGrath, J Russin, E Pavlick, R Feiman
Current Directions in Psychological Science 33 (5), 325-333, 2024
62024
Is human compositionality meta-learned?
J Russin, SW McGrath, E Pavlick, MJ Frank
52024
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
52023
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
42022
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
32022
Human Curriculum Effects Emerge with In-Context Learning in Neural Networks
J Russin, E Pavlick, MJ Frank
ArXiv, 2024
22024
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