An interactive model accounts for both ultra-rapid superordinate classification and basic-level advantage in object recognition. - Qihong Lu; Timothy T. Rogers (CogSci, 2016)

Measuring representational similarity across neural networks. - Qihong Lu; Peter J. Ramadge; Kenneth A. Norman; Uri Hasson (CogSci, 2018)

Shared Representational Geometry Across Neural Networks. - Qihong Lu; Po-Hsuan Chen; Jonathan W. Pillow; Peter J. Ramadge; Kenneth A. Norman; Uri Hasson (CoRR, 2018)

Learning to Apply Schematic Knowledge to Novel Instances. - Catherine Chen; Qihong Lu; Andre Beukers; Christopher Baldassano; Kenneth A. Norman (CoRR, 2019)

BrainIAK tutorials: User-friendly learning materials for advanced fMRI analysis. - Manoj Kumar; Cameron T. Ellis; Qihong Lu; Hejia Zhang; Mihai Capota; Theodore L. Willke; Peter J. Ramadge; Nicholas B. Turk-Browne; Kenneth A. Norman (PLoS Comput. Biol., 2020)

Toward a More Biologically Plausible Neural Network Model of Latent Cause Inference. - Qihong Lu; Tan T. Nguyen; Qiong Zhang; Uri Hasson; Thomas L. Griffiths 001; Jeffrey M. Zacks; Samuel J. Gershman; Kenneth A. Norman (CoRR, 2023)

Using Interactive Neural-Symbolic Models to Test Hypotheses of Human Event Cognition - Qihong Lu (2023)