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Confidence Is Influenced by Evidence Accumulation Time in Dynamical Decision Models
Confidence judgments are closely correlated with response times across a wide range of decision tasks. Sequential sampling models offer two competing...
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PyBEAM: A Bayesian approach to parameter inference for a wide class of binary evidence accumulation models
Many decision-making theories are encoded in a class of processes known as evidence accumulation models (EAM). These assume that noisy evidence...
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Are there jumps in evidence accumulation, and what, if anything, do they reflect psychologically? An analysis of Lévy Flights models of decision-making
According to existing theories of simple decision-making, decisions are initiated by continuously sampling and accumulating perceptual evidence until...
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Hidden Markov Models of Evidence Accumulation in Speeded Decision Tasks
Speeded decision tasks are usually modeled within the evidence accumulation framework, enabling inferences on latent cognitive parameters, and...
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The Discovery and Interpretation of Evidence Accumulation Stages
To improve the understanding of cognitive processing stages, we combined two prominent traditions in cognitive science: evidence accumulation models...
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Using mixture modeling to examine differences in perceptual decision-making as a function of the time and method of participant recruitment
We examine whether perceptual decision-making differs as a function of the time in the academic term and whether the participant is an undergraduate...
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Dynamic Modeling of Visual Search
In 1998/1999, three participants trained for up to 74-h-long sessions to find a target present on half the trials in visual displays of 1, 2, or 4...
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Computational Modeling of Self-Referential Processing Reveals Domain General Associations with Adolescent Anxiety Symptoms
What an adolescent thinks about themselves, commonly termed self-referential processing, has significant implications for youth long-term...
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Modeling impulsivity and risk aversion in the subthalamic nucleus with deep brain stimulation
Risk evaluation is ubiquitous in decisions. Deep brain stimulation of the subthalamic nucleus is effective for Parkinson’s disease and...
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Diffusion Decision Modeling of Retrieval Following the Temporal Selection of Behaviorally Relevant Moments
When targets appear in a detection task, unrelated but concurrent stimuli benefit from an encoding enhancement (the attentional boost effect ). For...
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Emotion expression salience and racially biased weapon identification: A diffusion modeling approach
Racial stereotypes are commonly activated by informational cues that are detectable in people’s faces. Here, we used a sequential priming task to...
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A General Integrative Neurocognitive Modeling Framework to Jointly Describe EEG and Decision-making on Single Trials
Despite advances in techniques for exploring reciprocity in brain-behavior relations, few studies focus on building neurocognitive models that...
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Modeling Eye Movements During Decision Making: A Review
This article reviews recent advances in the psychometric and econometric modeling of eye-movements during decision making. Eye movements offer a...
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A Modeling Framework to Examine Psychological Processes Underlying Ordinal Responses and Response Times of Psychometric Data
This article presents a joint modeling framework of ordinal responses and response times (RTs) for the measurement of latent traits. We integrate...
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Bayesian Graphical Modeling with the Circular Drift Diffusion Model
The circular drift-diffusion model (CDDM) is a sequential sampling model designed to account for decisions and response times in decision-making...
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Duration discrimination: A diffusion decision modeling approach
The human ability to discriminate the duration of two subsequently presented stimuli is often studied with tasks that involve a comparison between a...
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Self-judgment dissected: A computational modeling analysis of self-referential processing and its relationship to trait mindfulness facets and depression symptoms
Cognitive theories of depression, and mindfulness theories of well-being, converge on the notion that self-judgment plays a critical role in mental...
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A Cautionary Note on Evidence-Accumulation Models of Response Inhibition in the Stop-Signal Paradigm
The stop-signal paradigm is a popular procedure to investigate response inhibition—the ability to stop ongoing responses. It consists of a choice...
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An integrated Neo-Piagetian/Neo-Eriksonian development model II: RAF, qubit, and supra-theory modeling
Young developed a Neo-Piagetian/Neo-Eriksonian lifespan developmental model that consists of 25 substages in cognitive and socioaffective...
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Modeling Conditional Dependence of Response Accuracy and Response Time with the Diffusion Item Response Theory Model
In this paper, we propose a model-based method to study conditional dependence between response accuracy and response time (RT) with the diffusion...
