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 …

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 …

Current reinforcement-learning models often assume simplified decision processes that do
not fully reflect the dynamic complexities of choice processes. Conversely, sequential …

We model the joint distribution of choice probabilities and decision times in binary decisions
as the solution to a problem of optimal sequential sampling, where the agent is uncertain of …

The vast majority of experiments examining perception and behavior are conducted using
experimental paradigms that adhere to a rigid trial structure: each trial consists of a brief and …

Methods of fitting the diffusion model were examined with a focus on what the model can tell
us about individual differences. Diffusion model parameters were obtained from the fits to …

Convergent evidence suggests that corticostriatal interactions act as a gate to select the
input to working memory (WM). However, not all information in WM is relevant for behavior …

The way the cognitive system scans the visual environment for relevant information–visual
search in short–has been a long-standing central topic in vision science. From its inception …

Trial-to-trial fluctuations in an observer's state of mind have a direct influence on their
behavior. However, characterizing an observer's state of mind is difficult to do with …

Evidence accumulation models (EAMs) have been the dominant models of speeded
decision-making for several decades. These models propose that evidence accumulates for …