Computational Brain & Behavior
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When Does an Individual Accept Misinformation? An Extended Investigation Through Cognitive Modeling
Computational Brain & Behavior - Tập 5 - Trang 244-260 - 2022
A new phenomenon is the spread and acceptance of misinformation and disinformation on an individual user level, facilitated by social media such as Twitter. So far, state-of-the-art socio-psychological theories and cognitive models focus on explaining how the accuracy of fake news is judged on average, with little consideration of the individual. In this paper, a breadth of core models are compara......
Computational Resource Demands of a Predictive Bayesian Brain
Computational Brain & Behavior - - 2020
Promoting Cumulation in models of the human mind
Computational Brain & Behavior - Tập 2 - Trang 157-159 - 2019
Lee et al. (2019) address a critical issue in cognitive science—defining scientific practices that will promote rigor and confidence in our science by ensuring that our mechanisms, models, and theories are adequately described and validated to facilitate replication and to foster trust. They provide a number of concrete suggestions to advance our science along that path. The recommendations emphas......
Preregistration of Modeling Exercises May Not Be Useful
Computational Brain & Behavior - Tập 2 - Trang 179-182 - 2019
This is a commentary on Lee et al.’s (2019) article encouraging preregistration of model development, fitting, and evaluation. While we are in general agreement with Lee et al.’s characterization of the modeling process, we disagree on whether preregistration of this process will move the scientific enterprise forward. We emphasize the subjective and exploratory nature of model development, and po......
A Dynamic Dual Process Model for Binary Choices: Serial Versus Parallel Architecture
Computational Brain & Behavior - - Trang 1-28 - 2023
Dual process theories have become increasingly popular in psychology, behavioral economics, and neuroscience, assuming that two processes, here generically labeled as System 1 and System 2, have antagonistic characteristics such as automatic versus deliberate, impulsive versus rational, fast versus slow, and more. In decision-making a choice results from an interplay of these two systems. However,......
Dynamic Cognitive States Explain Individual Variability in Behavior and Modulate with EEG Functional Connectivity During Working Memory
Computational Brain & Behavior - - 2022
Fluctuations in strategy, attention, or motivation can cause large variability in performance across task trials. Typically, this variability is treated as noise, and assumed to cancel out, leaving supposedly stable relationships among behavior, neural activity, and experimental task conditions. Those relationships, however, could change with a participant’s internal cognitive states, and variabil......
What Happens After a Fast Versus Slow Error, and How Does It Relate to Evidence Accumulation?
Computational Brain & Behavior - Tập 5 - Trang 527-546 - 2022
It has traditionally been assumed that responding after an error is slowed because participants try to improve their accuracy by increasing the amount of evidence required for subsequent decisions. However, recent work suggests a more varied picture of post-error effects, with instances of post-error speeding, and decreases or no change in accuracy. Further, the causal role of errors in these effe......
Extensions of Multivariate Dynamical Systems to Simultaneously Explain Neural and Behavioral Data
Computational Brain & Behavior - - 2020
Individual Differences in Cortical Processing Speed Predict Cognitive Abilities: a Model-Based Cognitive Neuroscience Account
Computational Brain & Behavior - Tập 2 - Trang 64-84 - 2018
Previous research has shown that individuals with greater cognitive abilities display a greater speed of higher-order cognitive processing. These results suggest that speeded neural information processing may facilitate evidence accumulation during decision making and memory updating and thus yield advantages in general cognitive abilities. We used a hierarchical Bayesian cognitive modeling approa......
Plausibility and Early Theory in Linguistics and Cognitive Science
Computational Brain & Behavior - - Trang 1-13 - 2024
Various notions of plausibility are used in cognitive science to argue for or against the “goodness of theories.” However, plausibility remains poorly understood and difficult to analyze. We review debates in the philosophy of science on uses of plausibility in the assessment of novel scientific theories as well as recent attempts to formalize, reform, or eliminate specific notions of plausibility......
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