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Remarks on learning spaces
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On using the fixed-point property of binary mixtures to discriminate among models of recognition memory
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Homomorphisms between problem spaces
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On the mathematical formalization of the Inhibited Elements Model
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Understanding the geometrical properties of an Ames room and controlling it systematically and quantitatively
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A computational account of self-control
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A Coupled Hidden Markov Model framework for measuring the dynamics of categorization
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Making valuations with the priority heuristic
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Bayesian networks and knowledge structures in cognitive assessment: Remarks on basic comparable aspects
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Measuring a thought
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Measuring the velocity of spatio-temporal attention waves
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Invariance of comparisons: Separation of item and person parameters beyond Rasch models
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Inferred representations behave like oscillators in dynamic Bayesian models of beat perception
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Editorial: A celebration of A. A. J. Marley
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A straightforward and valid correction to Nathoo et al.’s Bayesian within-subject credible interval
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Toward a unified perspective on assessment models, part I: Foundations of a framework
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A proposal for a Riemannian face space and application to atypical vs. typical face similarities
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Lexicographic Majority
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On the multiplicative inequality
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Sense of agency in operations with delays: A free-energy model and application to interface design
Sense of agency in operations with delays: A free-energy model and application to interface design
Volumes 120–121, June–August 2024, 102859Author links open overlay panel, Highlights•Influence of delay on sense of agency...
The mathematical psychology of Peter Fishburn
The mathematical psychology of Peter Fishburn
Throughout his career, Peter Fishburn was interested in von Neumann-Morgenstern expected utility theory. Suppose an act or...
RT-MPTs: Process models for response-time distributions with diffusion-model kernels
RT-MPTs: Process models for response-time distributions with diffusion-model kernels
Volumes 120–121, June–August 2024, 102857Author links open overlay panel, , Highlights•Multinomial processing-tree models ...
The generalized Robbins–Monro process and its application to psychophysical experiments for threshold estimation
The generalized Robbins–Monro process and its application to psychophysical experiments for threshold estimation
One main research topic in classical psychophysics is to explore the relation between physical stimuli and psychological s...
Two peas in a pod: Discounting models as a special case of the VARMAX
Two peas in a pod: Discounting models as a special case of the VARMAX
Psychological processes unfold over time, implying that we need to actively consider the temporal nature of these processe...
On the (non-) reliance on algorithms—A decision-theoretic account
On the (non-) reliance on algorithms—A decision-theoretic account
In 2014, the media reported that Deep Knowledge Venture (DKV), a Hong Kong venture capital company, had brought a machine ...
A tutorial on Bayesian inference for dynamical modeling of eye-movement control during reading
A tutorial on Bayesian inference for dynamical modeling of eye-movement control during reading
During text reading, we generate 3 to 4 fast eye movements (saccades) per second to move words into the center of the visu...
Dynamic noise estimation: A generalized method for modeling noise fluctuations in decision-making
Dynamic noise estimation: A generalized method for modeling noise fluctuations in decision-making
Computational modeling has helped cognitive scientists, psychologists, and neuroscientists to quantitatively test theories...
An accidental image feature that appears but not disappears
An accidental image feature that appears but not disappears
A 3D scene and 3D objects in the scene can be drawn with contours in a 2D image and people can perceive their 3D informati...
Exploring well-gradedness in polytomous knowledge structures
Exploring well-gradedness in polytomous knowledge structures
Knowledge Structure Theory (KST), initially developed by Doignon and Falmagne, 1985, Doignon and Falmagne, 1999, has under...
A contextual range-dependent model for choice under risk
A contextual range-dependent model for choice under risk
Von Neumann and Morgenstern (1944) defined rational preferences in the presence of risk by a series of simple postulates s...
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