Among our attempts to answer this question, reinforcement learning has been one of the most successful learning theories in the field of neuroscience as well as computer science.

Nov 17, 2025 · In this study, Collins proposes an alternative dual-process (working memory and habit) model of reinforcement learning in humans.

Reward-based learning significantly influences behavioral choices by providing feedback that reinforces certain actions. In humans, this involves the brain's reward system, where positive outcomes …

Over the past few decades, neuroscience research has illuminated the neural mechanisms supporting learning from reward feedback. Learning paradigms are increasingly being extended to study mood …

Jan 1, 2022 · In these, learning the reward association of a stimulus “B” in a compound “AB” is prevented if “A” already fully predicts the reward. Then the reward is fully predicted; no prediction …

We’ll guide you through the process of reward learning, exploring its benefits, drawbacks, and practical tips for successful implementation.

May 1, 2021 · We propose a Hebbian type neurobiological model of reward-related learning that attempts to explain learned responses to stimuli that have been associated with primary reward.

Sep 8, 2014 · 19.4 Reward-based learning In conditioning experiments, animals learn complex action sequences if the desired behavior is rewarded. For example, in a simple T-maze an animal has to …

Memory recall for high reward value items correlates with individual differences in white matter pathways associated with reward processing and fronto-temporal communication.

Jan 4, 2022 · Here, we describe a dual-mechanism framework of value-directed remembering in which both strategic and automatic processes lead to differential encoding of valuable information.