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 …

There are few behavioral effects as ubiquitous as the speed-accuracy tradeoff (SAT). From
insects to rodents to primates, the tendency for decision speed to covary with decision …

Abstract Stochastic diffusion models (Ratcliff, 1978) can be used to analyze response time
data from binary decision tasks. They provide detailed information about cognitive …

Diffusion models can be used to infer cognitive processes involved in fast binary decision
tasks. The model assumes that information is accumulated continuously until one of two …

Confidence judgments are pivotal in the performance of daily tasks and in many domains of
scientific research including the behavioral sciences, psychology and neuroscience …

Heightened AI expectations facilitate performance in human-AI interactions through placebo
effects. While lowering expectations to control for placebo effects is advisable, overly …

In this letter, we examine the computational mechanisms of reinforce-ment-based decision
making. We bridge the gap across multiple levels of analysis, from neural models of …

A multitude of models have been proposed to account for the neural mechanism of value
integration and decision making in speeded decision tasks. While most of these models …

We present a dynamic model of memory that integrates the processes of perception,
retrieval from knowledge, retrieval of events, and decision making as these evolve from 1 …

One approach to understanding a complex process starts with an attempt to divide it into
modules·, sub-processes that are independent in some sense, and have distinct functions. In …