Urgent.News

What's breaking now, across thousands of outlets.

Science

Temporally distinct reward and action prediction error signals during value learning and habit formation

Effective decision making in stochastic environments requires balancing flexible, value-based learning with a stabilising influence of habitual action selection. While dopamine-mediated reward prediction errors (RPEs) are a well-established component of value learning, the mechanisms underlying habit-like behaviour remain less clear. Here, we combined behavioural analysis, computational…

Effective decision making in uncertain situations necessitates a balance between adaptable value-based learning and a stabilizing effect of habitual action selection. Dopamine-mediated reward prediction errors (RPEs) are known to play a role in value learning, but the mechanisms behind habit-like behavior are less understood. In this study, researchers examined the decision-making process of mice engaged in a probabilistic choice task, in which the actions taken were not immediately tied to the outcome on each trial.

The team found that choice behavior was best explained by a model that integrated value-based, habitual, and risk-sensitive components, each of which was updated by separate reward- and action-related learning signals.

The researchers observed that dopamine activity in the dorsolateral striatum carried not only RPE-like signals when making a choice and receiving a result, but also temporally distinct action prediction errors (APEs) following the completion of a choice. These findings support a framework in which dopamine signals in the dorsolateral striatum carry parallel but distinct reward- and action-related learning signals to facilitate value- and habit-based processes.

Written by urgent.news from bioRxiv's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.

Read the original at biorxiv.org →

More in Science

More from Monday 24 August →