Mental labour

W Kool, M Botvinick - Nature human behaviour, 2018 - nature.com
Mental effort is an elementary notion in our folk psychology and a familiar fixture in everyday
introspective experience. However, as an object of scientific study, mental effort has …

Advancing theorizing about fast-and-slow thinking

W De Neys - Behavioral and Brain Sciences, 2023 - cambridge.org
Human reasoning is often conceived as an interplay between a more intuitive and deliberate
thought process. In the last 50 years, influential fast-and-slow dual-process models that …

Humans primarily use model-based inference in the two-stage task

C Feher da Silva, TA Hare - Nature Human Behaviour, 2020 - nature.com
Distinct model-free and model-based learning processes are thought to drive both typical
and dysfunctional behaviours. Data from two-stage decision tasks have seemingly shown …

A mosaic of cost–benefit control over cortico-striatal circuitry

A Westbrook, MJ Frank, R Cools - Trends in Cognitive Sciences, 2021 - cell.com
Dopamine contributes to cognitive control through well-established effects in both the
striatum and cortex. Although earlier work suggests that dopamine affects cognitive control …

Memory as a computational resource

I Dasgupta, SJ Gershman - Trends in cognitive sciences, 2021 - cell.com
Computer scientists have long recognized that naive implementations of algorithms often
result in a paralyzing degree of redundant computation. More sophisticated implementations …

Hierarchical action control: Adaptive collaboration between actions and habits

BW Balleine, A Dezfouli - Frontiers in Psychology, 2019 - frontiersin.org
It is now commonly accepted that instrumental actions can reflect goal-directed control; ie,
they can show sensitivity to changes in the relationship to and the value of their …

Integrating models of interval timing and reinforcement learning

EA Petter, SJ Gershman, WH Meck - Trends in cognitive sciences, 2018 - cell.com
We present an integrated view of interval timing and reinforcement learning (RL) in the
brain. The computational goal of RL is to maximize future rewards, and this depends …

Origin of perseveration in the trade-off between reward and complexity

SJ Gershman - Cognition, 2020 - Elsevier
When humans and other animals make repeated choices, they tend to repeat previously
chosen actions independently of their reward history. This paper locates the origin of …

Simplifying social learning

LM Hackel, DA Kalkstein, P Mende-Siedlecki - Trends in Cognitive …, 2024 - cell.com
Social learning is complex, but people often seem to navigate social environments with
ease. This ability creates a puzzle for traditional accounts of reinforcement learning (RL) that …

Rethinking model-based and model-free influences on mental effort and striatal prediction errors

C Feher da Silva, G Lombardi, M Edelson… - Nature Human …, 2023 - nature.com
A standard assumption in neuroscience is that low-effort model-free learning is automatic
and continuously used, whereas more complex model-based strategies are only used when …