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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