| 2024 | CogSci | REM (1997) Predicts Recognition. Tested With 2AFC, and 4AWC. | Zainab Mohamed, Constantin G. Meyer-Grant, Richard M. Shiffrin |
| 2023 | CogSci | Dynamic Modeling of Visual Search. | Zainab Mohamed, Denis Cousineau, Samuel Harding, Richard M. Shiffrin |
| 2021 | CogSci | Dynamic Perception Revealed by Cursor Movements and Hidden Markov Modeling. | Samuel Harding, Richard M. Shiffrin |
| 2019 | CogSci | Extending Rationality. | Emmanuel M. Pothos, Jerome R. Busemeyer, Timothy J. Pleskac, James M. Yearsley, Josh Tenenbaum, Noah D. Goodman, Michael Henry Tessler, Tom Griffiths, Falk Lieder, Ralph Hertwig, Thorsten Pachur, Christina Leuker, Richard M. Shiffrin |
| 2018 | CogSci | Tracking the Development of Automaticity in Memory Search with Human Electrophysiology. | Rui Cao, Thomas A. Busey, Robert M. Nosofsky, Richard M. Shiffrin, Geoffrey F. Woodman |
| 2018 | CogSci | A Dynamic Object Recognition Model for Decisions Made Over Dynamic Stimuli. | Samuel Harding, Richard M. Shiffrin |
| 2018 | CogSci | Inferring attention through cursor trajectories. | Kiran Kumar, Samuel Harding, Richard M. Shiffrin |
| 2017 | CogSci | Vanishing the mirror effect: The influence of prior history & list composition on recognition memory. | Melody Dye, Michael N. Jones, Richard M. Shiffrin |
| 2016 | CogSci | Item Learning vs. High-Level Categorization in Consistent-Mapping Memory Search. | Rui Cao, Robert M. Nosofsky, Richard M. Shiffrin |
| 2016 | CogSci | A Bayesian Metric for Network Similarity. | Richard M. Shiffrin |
| 2015 | CogSci | A Dynamic Approach to Secondary Processes in Associative Recognition. | Gregory E. Cox, Richard M. Shiffrin |
| 2015 | CogSci | Distinguishing the Recent Past from the Complicated Present in Recognition Memory. | Melody Dye, Richard M. Shiffrin |
| 2014 | CogSci | Linking Memory Models and Decision Models: Insights on Frequency and Speed/Accuracy Trade-off. | Gregory E. Cox, Richard M. Shiffrin |
| 2014 | CogSci | Developing Semantic Knowledge through Cross-situational Word Learning. | George Kachergis, Chen Yu, Richard M. Shiffrin |
| 2014 | CogSci | Sequential Sampling Models for Cognitive and Perceptual Decision Making. | Richard M. Shiffrin |
| 2013 | CogSci | Similarity and Strategic Effects in Recognition Memory. | Gregory E. Cox, George Kachergis, Richard M. Shiffrin |
| 2013 | CogSci | On the Dynamics of Information Accumulation in Recognition. | Gregory E. Cox, Nicholas Lewis, Richard M. Shiffrin |
| 2013 | CogSci | Dilution Effects in Perceptual Information Integration. | Jared M. Hotaling, Andrew Cohen, Jerome R. Busemeyer, Richard M. Shiffrin |
| 2013 | CogSci | The Effects of Repeated Sequential Context on Recognition Memory. | George Kachergis, Gregory E. Cox, Richard M. Shiffrin |
| 2013 | CogSci | Popout Attention with two foils: linear dependence and dimensional interaction. | Kiran Kumar, Suyog H. Chandramouli, Richard M. Shiffrin |
| 2012 | CogSci | Gaussian Process Regression for Trajectory Analysis. | Gregory E. Cox, George Kachergis, Richard M. Shiffrin |
| 2012 | CogSci | Exploring Decision Rules and Sampling Dynamics in Recognition Memory. | Gregory E. Cox, Richard M. Shiffrin |
| 2012 | CogSci | Dynamic Effects of Perceptual and Categorical Similarity on Recognition Memory. | George Kachergis, Gregory E. Cox, Richard M. Shiffrin |
| 2012 | CogSci | Actively Learning Nouns Across Ambiguous Situations. | George Kachergis, Chen Yu, Richard M. Shiffrin |
| 2011 | CogSci | Criterion Setting and the Dynamics of Recognition Memory. | Gregory E. Cox, Richard M. Shiffrin |
| 2011 | CogSci | Visual Search as a Combination of Automatic and Attentive Processes. | Christopher Donkin, Richard M. Shiffrin |
| 2011 | CogSci | Adaptive Magnitude and Valence Biases in a Dynamic Memory Task. | George Kachergis, Gabriel Recchia, Richard M. Shiffrin |
| 2011 | CogSci | Active Cross-situational Learning. | George Kachergis, Chen Yu, Richard M. Shiffrin |
| 2011 | CogSci | Computational, Neuroscientific, and Lifespan Perspectives on the Exploration-Exploitation Dilemma. | A. Ross Otto, W. Bradley Knox, Bradley C. Love, Samuel Gershman, Yael Niv, Darrell A. Worthy, W. Todd Maddox, Jared M. Hotaling, Jerome R. Busemeyer, Richard M. Shiffrin |
| 2011 | CogSci | The Potential of Quantum Probability for Modeling Cognitive Processes. | Emmanuel M. Pothos, Jerome R. Busemeyer, Richard M. Shiffrin, Jennifer Trueblood, Zheng Wang, Reinhard Blutner, Harald Atmanspacher |