Computational modeling of behavior has revolutionized psychology and neuroscience. By
fitting models to experimental data we can probe the algorithms underlying behavior, find …

Researchers have benefited from characterizing evidence-based decision making as a
process involving sequential sampling. More recently, sequential sampling models have …

Computational modeling is now ubiquitous in psychology, and researchers who are not
modelers may find it increasingly difficult to follow the theoretical developments in their field …

Violations of economic rationality principles in choices between three or more options are
critical for understanding the neural and cognitive mechanisms of decision-making. A recent …

Our understanding of cognition has been advanced by two traditionally non-overlapping and
non-interacting groups. Mathematical psychologists rely on behavioral data to evaluate …

Theories of individual differences are foundational to psychological and brain sciences, yet
they are traditionally developed and tested using superficial summaries of data (eg, mean …

Perceptual decision making can be accounted for by drift-diffusion models, a class of
decision-making models that assume a stochastic accumulation of evidence on each trial …

We survey models of response inhibition having different degrees of mathematical,
computational and neurobiological specificity and generality. The independent race model …

Response time data collected from cognitive tasks are a cornerstone of psychology and
neuroscience research, yet existing models of these data either make strong assumptions …

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 …