| A neural network model of when to retrieve and encode episodic memories Q Lu, U Hasson, KA Norman eLife 11, e74445, 2022 | 52* | 2022 |
| BrainIAK tutorials: User-friendly learning materials for advanced fMRI analysis M Kumar, CT Ellis, Q Lu, H Zhang, M Capotă, TL Willke, PJ Ramadge, ... PLoS computational biology 16 (1), e1007549, 2020 | 51 | 2020 |
| BrainIAK: the brain imaging analysis kit M Kumar, MJ Anderson, JW Antony, C Baldassano, PP Brooks, MB Cai, ... Aperture neuro 1 (4), 2021 | 40* | 2021 |
| Evidence for a deep, distributed and dynamic semantic code in human ventral anterior temporal cortex TT Rogers, C Cox, Q Lu, A Shimotake, T Kikuch, T Kunieda, S Miyamoto, ... eLife 10, e66276, 2021 | 39* | 2021 |
| A parallel-distributed processing approach to mathematical cognition JL McClelland, K Mickey, S Hansen, A Yuan, Q Lu Manuscript, Stanford University, 263, 2016 | 16 | 2016 |
| Shared Representational Geometry Across Neural Networks Q Lu, PH Chen, JW Pillow, PJ Ramadge, KA Norman, U Hasson Neural Information Processing Systems (NeurIPS), Integration of Deep …, 2018 | 14 | 2018 |
| Learning to perform role-filler binding with schematic knowledge C Chen, Q Lu, A Beukers, C Baldassano, KA Norman PeerJ 9, e11046, 2021 | 6* | 2021 |
| Toward a More Neurally Plausible Neural Network Model of Latent Cause Inference Q Lu, T Nguyen, U Hasson, TL Griffiths, JM Zacks, SJ Gershman, ... Conference on Cognitive Computational Neuroscience, 2023 | 1 | 2023 |
| Teaching a neural network to count: reinforcement learning with “social scaffolding” Q Lu, JL McClelland Neural Computation and Psychology Workshop, 2016 | 1 | 2016 |
| Reconciling Shared versus Context-Specific Information in a Neural Network Model of Latent Causes Q Lu, TT Nguyen, Q Zhang, U Hasson, TL Griffiths, JM Zacks, ... arXiv preprint arXiv:2312.08519, 2023 | | 2023 |
| Strategic Control of Episodic Memory Through Post-Gating C Dong, Q Lu, KA Norman Conference on Cognitive Computational Neuroscience, 2023 | | 2023 |
| Optimal Timing for Episodic Retrieval and Encoding for Event Understanding Q Lu, ZY Fan, U Hasson, KA Norman Conference on Cognitive Computational Neuroscience, 2019 | | 2019 |
| Modeling Hippocampal-Cortical Dynamics During Event Processing Q Lu, U Hasson, KA Norman Conference on Cognitive Computational Neuroscience, 2018 | | 2018 |
| Generalized Schema Learning by Neural Networks C Chen, Q Lu, A Beukers, C Baldassano, K Norman Conference on Cognitive Computational Neuroscience, 2018 | | 2018 |
| Performance Optimization is Insufficient for Building Accurate Models for Neural Representation J Yu, Q Lu, U Hasson, KA Norman, JW Pillow Conference on Cognitive Computational Neuroscience, 2018 | | 2018 |
| An interactive model accounts for both ultra-rapid superordinate classification and basic-level advantage in object recognition. Q Lu, TT Rogers Annual Meeting of the Cognitive Science Society, 2016 | | 2016 |
| BrainIAK Education: User-Friendly Tutorials for Advanced, Computationally-Intensive fMRI Analysis M Kumar, CT Ellis, Q Lu, H Zhang, PJ Ramadge, KA Norman, ... | | |
Kenneth A. NormanProfessor of Psychology and Neuroscience, Princeton UniversityVerified email at princeton.edu
