This review integrates computational approaches to provide a unified view on how data analysis methods, biophysical mechanistic models and machine learning approaches can help to uncover the origins a...

In "A habit and working memory model as an alternative account of human reward-based learning", Collins argues that vanilla reinforcement learning models do not provide the best account of how human b...

Nature Chemistry - Science is about discovering new knowledge, so, logically, there will be disagreement. Shira Joudan contemplates how disagreements can be useful, and how to deal with them when...

Serotonin (5-HT) is a central neuromodulator which is implicated in, amongst other functions, cognitive flexibility. 5-HT is released from the dorsal raphe nucleus (DRN) throughout nearly the entire f...

As scientists, we want solid answers, but we also want to answer questions that matter. Yet, the brain’s complexity forces trade-offs between these desiderata, bringing about two distinct research app...

Nature - An algorithm called time–magnitude reinforcement learning (TMRL) extends distributional reinforcement learning to take account of reward time and magnitude, and behavioural and...

We introduce an updated set of video clips for research on emotion and its relations with perception, cognition, and behavior. These 1380 brief video clips each portray realistic episodes. They were s...

A pyramidal cell type and the 5-HT2A receptor in the medial frontal cortex have essential roles in psilocybin’s long-term drug action.

Post by Rachel Sharp The takeaway Serotonin neurons signal a prospective code for value – a prediction of near-future rewards that explains why these neurons respond to both rewards and punish...

Merging ideas from reinforcement learning theory with recent insights into the filtering properties of the dorsal raphe nucleus, a unifying perspective is found explaining why serotonin neurons are ac...

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