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 …

Humans and other animals are motivated to act so as to maximize their subjective reward
rate. Here, we propose that reward rate maximization is accomplished by adjusting a context …

The drift-diffusion model (DDM) is an important decision-making model in cognitive
neuroscience. However, innovations in model form have been limited by methodological …

Recent work suggests that while animals decide between reaching actions, neurons in
dorsal premotor (PMd) and primary motor (M1) cortex reflect a dynamic competition between …

Many tasks used to study decision-making encourage subjects to integrate evidence over
time. Such tasks are useful to understand how the brain operates on multiple samples of …

Dorsal premotor cortex is implicated in somatomotor decisions. However, we do not
understand the temporal patterns and laminar organization of decision-related firing rates in …

Classical dynamic theories of decision making assume that responses are triggered by
accumulating a threshold amount of information. Recently, there has been a growing …

Much of experimental psychology uses accuracy and response time (RT) data to make
inferences about the processes underlying performance. These data are used in many …

Theories and computational models of decision-making usually focus on how strongly
different attributes are weighted in choice, for example, as a function of their importance or …

The time available to inform decisions is often limited, for example because of a response
deadline. In such circumstances, accurate knowledge of the amount of time available for a …