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Richard M. Shiffrin
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- affiliation: Indiana University, Psychology Department, Bloomington, IN, USA
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2020 – today
- 2023
- [c31]Zainab Mohamed, Denis Cousineau, Samuel Harding, Richard M. Shiffrin:
Dynamic Modeling of Visual Search. CogSci 2023 - [i1]Marcel Binz, Stephan Alaniz, Adina Roskies, Balazs Aczel, Carl T. Bergstrom, Colin Allen, Daniel Schad, Dirk Wulff, Jevin D. West, Qiong Zhang, Richard M. Shiffrin, Samuel J. Gershman, Ven Popov, Emily M. Bender, Marco Marelli, Matthew M. Botvinick, Zeynep Akata, Eric Schulz:
How should the advent of large language models affect the practice of science? CoRR abs/2312.03759 (2023) - 2022
- [j8]Richard M. Shiffrin:
Is it Reasonable to Study Decision-Making Quantitatively? Top. Cogn. Sci. 14(3): 621-633 (2022) - 2021
- [c30]Samuel Harding, Richard M. Shiffrin:
Dynamic Perception Revealed by Cursor Movements and Hidden Markov Modeling. CogSci 2021 - 2020
- [j7]Yanjiang Wang, Xue Chen, Bao-Di Liu, Weifeng Liu, Richard Martin Shiffrin:
Understanding the Relationship Between Human Brain Structure and Function by Predicting the Structural Connectivity From Functional Connectivity. IEEE Access 8: 209926-209938 (2020)
2010 – 2019
- 2019
- [c29]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:
Extending Rationality. CogSci 2019: 39-40 - 2018
- [c28]Rui Cao, Thomas A. Busey, Robert M. Nosofsky, Richard M. Shiffrin, Geoffrey F. Woodman:
Tracking the Development of Automaticity in Memory Search with Human Electrophysiology. CogSci 2018 - [c27]Samuel Harding, Richard M. Shiffrin:
A Dynamic Object Recognition Model for Decisions Made Over Dynamic Stimuli. CogSci 2018 - [c26]Kiran Kumar, Samuel Harding, Richard M. Shiffrin:
Inferring attention through cursor trajectories. CogSci 2018 - 2017
- [j6]George Kachergis, Chen Yu, Richard M. Shiffrin:
A Bootstrapping Model of Frequency and Context Effects in Word Learning. Cogn. Sci. 41(3): 590-622 (2017) - [c25]Melody Dye, Michael N. Jones, Richard M. Shiffrin:
Vanishing the mirror effect: The influence of prior history & list composition on recognition memory. CogSci 2017 - 2016
- [c24]Rui Cao, Robert M. Nosofsky, Richard M. Shiffrin:
Item Learning vs. High-Level Categorization in Consistent-Mapping Memory Search. CogSci 2016 - [c23]Richard M. Shiffrin:
A Bayesian Metric for Network Similarity. CogSci 2016 - 2015
- [c22]Gregory E. Cox, Richard M. Shiffrin:
A Dynamic Approach to Secondary Processes in Associative Recognition. CogSci 2015 - [c21]Melody Dye, Richard M. Shiffrin:
Distinguishing the Recent Past from the Complicated Present in Recognition Memory. CogSci 2015 - 2014
- [c20]Gregory E. Cox, Richard M. Shiffrin:
Linking Memory Models and Decision Models: Insights on Frequency and Speed/Accuracy Trade-off. CogSci 2014 - [c19]George Kachergis, Chen Yu, Richard M. Shiffrin:
Developing Semantic Knowledge through Cross-situational Word Learning. CogSci 2014 - [c18]Richard M. Shiffrin:
Sequential Sampling Models for Cognitive and Perceptual Decision Making. CogSci 2014 - 2013
- [j5]George Kachergis, Chen Yu, Richard M. Shiffrin:
Actively Learning Object Names Across Ambiguous Situations. Top. Cogn. Sci. 5(1): 200-213 (2013) - [c17]Gregory E. Cox, George Kachergis, Richard M. Shiffrin:
Similarity and Strategic Effects in Recognition Memory. CogSci 2013 - [c16]Gregory E. Cox, Nicholas Lewis, Richard M. Shiffrin:
On the Dynamics of Information Accumulation in Recognition. CogSci 2013 - [c15]Jared M. Hotaling, Andrew Cohen, Jerome R. Busemeyer, Richard M. Shiffrin:
Dilution Effects in Perceptual Information Integration. CogSci 2013 - [c14]George Kachergis, Gregory E. Cox, Richard M. Shiffrin:
The Effects of Repeated Sequential Context on Recognition Memory. CogSci 2013 - [c13]Kiran Kumar, Suyog Chandramouli, Richard M. Shiffrin:
Popout Attention with two foils: linear dependence and dimensional interaction. CogSci 2013 - 2012
- [j4]Gregory E. Cox, Richard M. Shiffrin:
Criterion Setting and the Dynamics of Recognition Memory. Top. Cogn. Sci. 4(1): 135-150 (2012) - [c12]Gregory E. Cox, George Kachergis, Richard M. Shiffrin:
Gaussian Process Regression for Trajectory Analysis. CogSci 2012 - [c11]Gregory E. Cox, Richard M. Shiffrin:
Exploring Decision Rules and Sampling Dynamics in Recognition Memory. CogSci 2012 - [c10]George Kachergis, Gregory E. Cox, Richard M. Shiffrin:
Dynamic Effects of Perceptual and Categorical Similarity on Recognition Memory. CogSci 2012 - [c9]George Kachergis, Chen Yu, Richard M. Shiffrin:
Actively Learning Nouns Across Ambiguous Situations. CogSci 2012 - [c8]George Kachergis, Chen Yu, Richard M. Shiffrin:
Cross-situational word learning is better modeled by associations than hypotheses. ICDL-EPIROB 2012: 1-6 - 2011
- [c7]Gregory E. Cox, Richard M. Shiffrin:
Criterion Setting and the Dynamics of Recognition Memory. CogSci 2011 - [c6]Christopher Donkin, Richard M. Shiffrin:
Visual Search as a Combination of Automatic and Attentive Processes. CogSci 2011 - [c5]George Kachergis, Gabriel Recchia, Richard M. Shiffrin:
Adaptive Magnitude and Valence Biases in a Dynamic Memory Task. CogSci 2011 - [c4]George Kachergis, Chen Yu, Richard M. Shiffrin:
Active Cross-situational Learning. CogSci 2011 - [c3]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:
Computational, Neuroscientific, and Lifespan Perspectives on the Exploration-Exploitation Dilemma. CogSci 2011 - [c2]Emmanuel M. Pothos, Jerome R. Busemeyer, Richard M. Shiffrin, Jennifer Trueblood, Zheng Wang, Reinhard Blutner, Harald Atmanspacher:
The Potential of Quantum Probability for Modeling Cognitive Processes. CogSci 2011 - 2010
- [j3]Richard M. Shiffrin:
Perspectives on Modeling in Cognitive Science. Top. Cogn. Sci. 2(4): 736-750 (2010)
2000 – 2009
- 2008
- [j2]Richard M. Shiffrin, Michael D. Lee, Woojae Kim, Eric-Jan Wagenmakers:
A Survey of Model Evaluation Approaches With a Tutorial on Hierarchical Bayesian Methods. Cogn. Sci. 32(8): 1248-1284 (2008) - 2003
- [j1]Richard M. Shiffrin:
Modeling memory and perception. Cogn. Sci. 27(3): 341-378 (2003) - 2002
- [c1]Kenneth J. Malmberg, René Zeelenberg, Richard M. Shiffrin:
Modeling Midazolam's Effect on the Hippocampus and Recognition Memory. NIPS 2002: 67-66
1960 – 1969
- 1968
- [p1]Richard C. Atkinson, Richard M. Shiffrin:
Human Memory: A Proposed System and its Control Processes. Psychology of Learning and Motivation 1968: 89-195
Coauthor Index
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