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2020 – today
- 2023
[b1]Qihong Lu:
Using Interactive Neural-Symbolic Models to Test Hypotheses of Human Event Cognition. Princeton University, USA, 2023- [i3]Qihong Lu, Tan T. Nguyen, Qiong Zhang, Uri Hasson, Thomas L. Griffiths, Jeffrey M. Zacks, Samuel J. Gershman, Kenneth A. Norman:
Toward a More Biologically Plausible Neural Network Model of Latent Cause Inference. CoRR abs/2312.08519 (2023) - 2020
- [j1]Manoj Kumar
, Cameron T. Ellis, Qihong Lu, Hejia Zhang, Mihai Capota, Theodore L. Willke, Peter J. Ramadge, Nicholas B. Turk-Browne, Kenneth A. Norman:
BrainIAK tutorials: User-friendly learning materials for advanced fMRI analysis. PLoS Comput. Biol. 16(1) (2020)
2010 – 2019
- 2019
- [i2]Catherine Chen, Qihong Lu, Andre Beukers, Christopher Baldassano, Kenneth A. Norman:
Learning to Apply Schematic Knowledge to Novel Instances. CoRR abs/1902.09006 (2019) - 2018
- [c2]Qihong Lu, Peter J. Ramadge, Kenneth A. Norman, Uri Hasson:
Measuring representational similarity across neural networks. CogSci 2018 - [i1]Qihong Lu, Po-Hsuan Chen, Jonathan W. Pillow, Peter J. Ramadge, Kenneth A. Norman, Uri Hasson:
Shared Representational Geometry Across Neural Networks. CoRR abs/1811.11684 (2018) - 2016
- [c1]Qihong Lu, Timothy T. Rogers:
An interactive model accounts for both ultra-rapid superordinate classification and basic-level advantage in object recognition. CogSci 2016
Coauthor Index
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