Human Memory: A Proposed System and its Control Processes. - Richard C. Atkinson; Richard M. Shiffrin (Psychology of Learning and Motivation, 1968)

Modeling Midazolam's Effect on the Hippocampus and Recognition Memory. - Kenneth J. Malmberg; René Zeelenberg; Richard M. Shiffrin (NIPS, 2002)

Modeling memory and perception. - Richard M. Shiffrin (Cogn. Sci., 2003)

A Survey of Model Evaluation Approaches With a Tutorial on Hierarchical Bayesian Methods. - Richard M. Shiffrin; Michael D. Lee 001; Woojae Kim; Eric-Jan Wagenmakers (Cogn. Sci., 2008)

Perspectives on Modeling in Cognitive Science. - Richard M. Shiffrin (Top. Cogn. Sci., 2010)

Visual Search as a Combination of Automatic and Attentive Processes. - Christopher Donkin; Richard M. Shiffrin (CogSci, 2011)

Adaptive Magnitude and Valence Biases in a Dynamic Memory Task. - George Kachergis; Gabriel Recchia; Richard M. Shiffrin (CogSci, 2011)

Active Cross-situational Learning. - George Kachergis; Chen Yu 001; Richard M. Shiffrin (CogSci, 2011)

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 (CogSci, 2011)

The Potential of Quantum Probability for Modeling Cognitive Processes. - Emmanuel M. Pothos; Jerome R. Busemeyer; Richard M. Shiffrin; Jennifer Trueblood; Zheng Wang 003; Reinhard Blutner; Harald Atmanspacher (CogSci, 2011)

Gaussian Process Regression for Trajectory Analysis. - Gregory E. Cox; George Kachergis; Richard M. Shiffrin (CogSci, 2012)

Exploring Decision Rules and Sampling Dynamics in Recognition Memory. - Gregory E. Cox; Richard M. Shiffrin (CogSci, 2012)

Dynamic Effects of Perceptual and Categorical Similarity on Recognition Memory. - George Kachergis; Gregory E. Cox; Richard M. Shiffrin (CogSci, 2012)

Actively Learning Nouns Across Ambiguous Situations. - George Kachergis; Chen Yu 001; Richard M. Shiffrin (CogSci, 2012)

Cross-situational word learning is better modeled by associations than hypotheses. - George Kachergis; Chen Yu 001; Richard M. Shiffrin (ICDL-EPIROB, 2012)

Criterion Setting and the Dynamics of Recognition Memory. - Gregory E. Cox; Richard M. Shiffrin (Top. Cogn. Sci., 2012)

Similarity and Strategic Effects in Recognition Memory. - Gregory E. Cox; George Kachergis; Richard M. Shiffrin (CogSci, 2013)

On the Dynamics of Information Accumulation in Recognition. - Gregory E. Cox; Nicholas Lewis; Richard M. Shiffrin (CogSci, 2013)

Dilution Effects in Perceptual Information Integration. - Jared M. Hotaling; Andrew Cohen; Jerome R. Busemeyer; Richard M. Shiffrin (CogSci, 2013)

The Effects of Repeated Sequential Context on Recognition Memory. - George Kachergis; Gregory E. Cox; Richard M. Shiffrin (CogSci, 2013)

Popout Attention with two foils: linear dependence and dimensional interaction. - Kiran Kumar; Suyog Chandramouli; Richard M. Shiffrin (CogSci, 2013)

Actively Learning Object Names Across Ambiguous Situations. - George Kachergis; Chen Yu 001; Richard M. Shiffrin (Top. Cogn. Sci., 2013)

Linking Memory Models and Decision Models: Insights on Frequency and Speed/Accuracy Trade-off. - Gregory E. Cox; Richard M. Shiffrin (CogSci, 2014)

Developing Semantic Knowledge through Cross-situational Word Learning. - George Kachergis; Chen Yu 001; Richard M. Shiffrin (CogSci, 2014)

Sequential Sampling Models for Cognitive and Perceptual Decision Making. - Richard M. Shiffrin (CogSci, 2014)

A Dynamic Approach to Secondary Processes in Associative Recognition. - Gregory E. Cox; Richard M. Shiffrin (CogSci, 2015)

Distinguishing the Recent Past from the Complicated Present in Recognition Memory. - Melody Dye; Richard M. Shiffrin (CogSci, 2015)

Item Learning vs. High-Level Categorization in Consistent-Mapping Memory Search. - Rui Cao; Robert M. Nosofsky; Richard M. Shiffrin (CogSci, 2016)

A Bayesian Metric for Network Similarity. - Richard M. Shiffrin (CogSci, 2016)

Vanishing the mirror effect: The influence of prior history & list composition on recognition memory. - Melody Dye; Michael N. Jones; Richard M. Shiffrin (CogSci, 2017)

A Bootstrapping Model of Frequency and Context Effects in Word Learning. - George Kachergis; Chen Yu 001; Richard M. Shiffrin (Cogn. Sci., 2017)

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 (CogSci, 2018)

A Dynamic Object Recognition Model for Decisions Made Over Dynamic Stimuli. - Samuel Harding; Richard M. Shiffrin (CogSci, 2018)

Inferring attention through cursor trajectories. - Kiran Kumar; Samuel Harding; Richard M. Shiffrin (CogSci, 2018)

Extending Rationality. - Emmanuel M. Pothos; Jerome R. Busemeyer; Timothy J. Pleskac; James M. Yearsley; Josh Tenenbaum 001; Noah D. Goodman; Michael Henry Tessler; Tom Griffiths 001; Falk Lieder; Ralph Hertwig; Thorsten Pachur; Christina Leuker; et al. (CogSci, 2019)

Understanding the Relationship Between Human Brain Structure and Function by Predicting the Structural Connectivity From Functional Connectivity. - Yanjiang Wang 001; Xue Chen; Bao-Di Liu; Weifeng Liu 001; Richard Martin Shiffrin (IEEE Access, 2020)

Dynamic Perception Revealed by Cursor Movements and Hidden Markov Modeling. - Samuel Harding; Richard M. Shiffrin (CogSci, 2021)

Is it Reasonable to Study Decision-Making Quantitatively? - Richard M. Shiffrin (Top. Cogn. Sci., 2022)

Dynamic Modeling of Visual Search. - Zainab Mohamed; Denis Cousineau 001; Samuel Harding; Richard M. Shiffrin (CogSci, 2023)

How should the advent of large language models affect the practice of science? - Marcel Binz; Stephan Alaniz; Adina Roskies; Balazs Aczel; Carl T. Bergstrom; Colin Allen; Daniel Schad; Dirk U. Wulff; Jevin D. West; Qiong Zhang; Richard M. Shiffrin; Samuel J. Gershman; et al. (CoRR, 2023)