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Diffusion decision model: Current issues and history
There is growing interest in diffusion models to represent the cognitive and neural processes
of speeded decision making. Sequential-sampling models like the diffusion model have a …
of speeded decision making. Sequential-sampling models like the diffusion model have a …
Expectation in perceptual decision making: neural and computational mechanisms
Sensory signals are highly structured in both space and time. These structural regularities in
visual information allow expectations to form about future stimulation, thereby facilitating …
visual information allow expectations to form about future stimulation, thereby facilitating …
Testing theory of mind in large language models and humans
At the core of what defines us as humans is the concept of theory of mind: the ability to track
other people's mental states. The recent development of large language models (LLMs) …
other people's mental states. The recent development of large language models (LLMs) …
Confidence reflects a noisy decision reliability estimate
Decisions vary in difficulty. Humans know this and typically report more confidence in easy
than in difficult decisions. However, confidence reports do not perfectly track decision …
than in difficult decisions. However, confidence reports do not perfectly track decision …
Sequential sampling models in cognitive neuroscience: Advantages, applications, and extensions
Sequential sampling models assume that people make speeded decisions by gradually
accumulating noisy information until a threshold of evidence is reached. In cognitive …
accumulating noisy information until a threshold of evidence is reached. In cognitive …
Perceptual decision making in rodents, monkeys, and humans
Perceptual decision making is the process by which animals detect, discriminate, and
categorize information from the senses. Over the past two decades, understanding how …
categorize information from the senses. Over the past two decades, understanding how …
Suboptimality in perceptual decision making
Human perceptual decisions are often described as optimal. Critics of this view have argued
that claims of optimality are overly flexible and lack explanatory power. Meanwhile …
that claims of optimality are overly flexible and lack explanatory power. Meanwhile …
Choice certainty is informed by both evidence and decision time
Summary" Degree of certainty" refers to the subjective belief, prior to feedback, that a
decision is correct. A reliable estimate of certainty is essential for prediction, learning from …
decision is correct. A reliable estimate of certainty is essential for prediction, learning from …
Bayesian computation through cortical latent dynamics
Statistical regularities in the environment create prior beliefs that we rely on to optimize our
behavior when sensory information is uncertain. Bayesian theory formalizes how prior …
behavior when sensory information is uncertain. Bayesian theory formalizes how prior …
[HTML][HTML] Decision making as a window on cognition
A decision is a commitment to a proposition or plan of action based on information and
values associated with the possible outcomes. The process operates in a flexible timeframe …
values associated with the possible outcomes. The process operates in a flexible timeframe …