Reinforcement learning models of error-driven learning and sequential-sampling models of
decision making have provided significant insight into the neural basis of a variety of …

We outline a dual systems approach to temporal cognition, which distinguishes between two
cognitive systems for dealing with how things unfold over time–a temporal updating system …

A well-established notion in cognitive neuroscience proposes that multiple brain systems
contribute to choice behaviour. These include:(1) a model-free system that uses values …

Learning and decision-making are interactive processes, yet cognitive modeling of error-
driven learning and decision-making have largely evolved separately. Recently, evidence …

We discuss three empirical findings that we think any theory attempting to integrate interval
timing with associative learning concepts will need to address. These empirical phenomena …

Contingency is a critical concept for theories of associative learning and the assignment of
credit problem in reinforcement learning. Measuring and manipulating it has, however, been …

Animals routinely learn to associate environmental stimuli and self-generated actions with
their outcomes such as rewards. One of the most popular theoretical models of such …

The modulation of interval timing by dopamine (DA) has been well established over
decades of research. The nature of this modulation, however, has remained controversial …

The model‐free algorithms of “reinforcement learning”(RL) have gained clout across
disciplines, but so too have model‐based alternatives. The present study emphasizes other …

Background Altered neural haemodynamic activity during decision making and learning has
been linked to the effects of inflammation on mood and motivated behaviours. So far, it has …