Diffusion decision model: Current issues and history

R Ratcliff, PL Smith, SD Brown, G McKoon - Trends in cognitive sciences, 2016 - cell.com
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 …

Resolving uncertainty in a social world

O FeldmanHall, A Shenhav - Nature human behaviour, 2019 - nature.com
Consider the range of social behaviours we engage in every day. In each case, there are a
multitude of unknowns, reflecting the many sources of uncertainty inherent to social …

Computational psychiatry needs time and context

PF Hitchcock, EI Fried, MJ Frank - Annual review of psychology, 2022 - annualreviews.org
Why has computational psychiatry yet to influence routine clinical practice? One reason may
be that it has neglected context and temporal dynamics in the models of certain mental …

Computational psychiatry as a bridge from neuroscience to clinical applications

QJM Huys, TV Maia, MJ Frank - Nature neuroscience, 2016 - nature.com
Translating advances in neuroscience into benefits for patients with mental illness presents
enormous challenges because it involves both the most complex organ, the brain, and its …

Frontosubthalamic circuits for control of action and cognition

AR Aron, DM Herz, P Brown, BU Forstmann… - Journal of …, 2016 - Soc Neuroscience
The subthalamic nucleus (STN) of the basal ganglia appears to have a potent role in action
and cognition. Anatomical and imaging studies show that different frontal cortical areas …

The drift diffusion model as the choice rule in reinforcement learning

ML Pedersen, MJ Frank, G Biele - Psychonomic bulletin & review, 2017 - Springer
Current reinforcement-learning models often assume simplified decision processes that do
not fully reflect the dynamic complexities of choice processes. Conversely, sequential …

A reinforcement learning diffusion decision model for value-based decisions

L Fontanesi, S Gluth, MS Spektor… - Psychonomic bulletin & …, 2019 - Springer
Psychological models of value-based decision-making describe how subjective values are
formed and mapped to single choices. Recently, additional efforts have been made to …

Using reinforcement learning models in social neuroscience: frameworks, pitfalls and suggestions of best practices

L Zhang, L Lengersdorff, N Mikus… - Social Cognitive and …, 2020 - academic.oup.com
The recent years have witnessed a dramatic increase in the use of reinforcement learning
(RL) models in social, cognitive and affective neuroscience. This approach, in combination …

Frontal theta predicts specific cognitive control-induced behavioural changes beyond general reaction time slowing

PS Cooper, F Karayanidis, M McKewen… - Neuroimage, 2019 - Elsevier
Investigations into the neurophysiological underpinnings of control suggest that frontal theta
activity is increased with the need for control. However, these studies typically show this link …

Advances in modeling learning and decision-making in neuroscience

AGE Collins, A Shenhav - Neuropsychopharmacology, 2022 - nature.com
An organism's survival depends on its ability to learn about its environment and to make
adaptive decisions in the service of achieving the best possible outcomes in that …