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Structure Learning in Predictive Processing Needs Revision
The predictive processing account aspires to explain all of cognition using a single, unifying principle. Among the major challenges is to explain...
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Predictive processing of scenes and objects
Real-world visual input consists of rich scenes that are meaningfully composed of multiple objects that interact in complex but predictable ways....
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Investigating variability in morphological processing with Bayesian distributional models
We investigated the processing of morphologically complex words adopting an approach that goes beyond estimating average effects and allows testing...
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Bayesian method in psychology: A bibliometric analysis
The research presented in this article was aimed to explore knowledge domain related to the application of Bayesian method in psychological research....
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Value-Embedded Learning and the Interoceptive, Predictive Brain
Over the past 15 years or so, there has been a growing and pervasive sense within brain science that we are standing on the cusp of a major paradigm...
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Bayesian hierarchical modeling: an introduction and reassessment
With the recent development of easy-to-use tools for Bayesian analysis, psychologists have started to embrace Bayesian hierarchical modeling....
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Refining Bayesian hierarchical MPT modeling: Integrating prior knowledge and ordinal expectations
Multinomial processing tree (MPT) models are a broad class of statistical models used to test sophisticated psychological theories. The research...
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Connecting process models to response times through Bayesian hierarchical regression analysis
Process models specify a series of mental operations necessary to complete a task. We demonstrate how to use process models to analyze response-time...
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Toward the unity of pathological and exertional fatigue: A predictive processing model
Fatigue is a common experience in both health and disease. Yet, pathological (i.e., prolonged or chronic) and transient (i.e., exertional) fatigue...
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Temporal stability of Bayesian belief updating in perceptual decision-making
Bayesian inference suggests that perception is inferred from a weighted integration of prior contextual beliefs with current sensory evidence...
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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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Self-initiation enhances perceptual processing of auditory stimuli in an online study
Understanding how the brain incorporates sensory and motor information will enable better theory building on human perception and behavior. In this...
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Bayesian Inference and Models in AP
We begin with the Bayes theorem, which combines a priori information with information from the data to create a posterior conditional probability,...
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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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A Bayesian perspective on severity: risky predictions and specific hypotheses
A tradition that goes back to Sir Karl R. Popper assesses the value of a statistical test primarily by its severity : was there an honest and...
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The Relationship Between Environmental Statistics and Predictive Gaze Behaviour During a Manual Interception Task: Eye Movements as Active Inference
Human observers are known to frequently act like Bayes-optimal decision-makers. Growing evidence indicates that the deployment of the visual system...
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Machine learning-based identification of a psychotherapy-predictive electroencephalographic signature in PTSD
Although psychotherapy is at present the most effective treatment for posttraumatic stress disorder (PTSD), its efficacy is still limited for many...
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Deviants violating higher-order auditory regularities can become predictive and facilitate behaviour
The human auditory system is believed to represent regularities inherent in auditory information in internal models. Sounds not matching the standard...
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The auditory brain in action: Intention determines predictive processing in the auditory system—A review of current paradigms and findings
According to the ideomotor theory, action may serve to produce desired sensory outcomes. Perception has been widely described in terms of sensory...
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Predicting the Social-Emotional Competence Based on Childhood Trauma, Internalized Shame, Disability/Shame Scheme, Cognitive Flexibility, Distress Tolerance and Alexithymia in an Iranian Sample Using Bayesian Regression
The purpose of this study was to predict Social Emotional Competence based on childhood trauma, internalized shame, disability/shame scheme,...
