Article

Hidden-state inference aligns attention and neural representational geometry during flexible behaviour

2025-10-10

Abstract excerpt

Flexible decision-making in uncertain environments requires inferring latent task states and prioritising behaviourally relevant information. We tested the hypothesis that this process is associated with systematic changes in attention and neural representational structure. Human participants performed a serial reversal learning task that required identifying which stimulus dimension(s) were currently relevant. Be...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: 17b854c4-5b1d-5357-84ea-19d651d454a9
DOI: 10.1101/2025.10.10.681143

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Hidden-state inference aligns attention and neural representational geometry during flexible behaviourDOI 10.1101/2025.10.10.681143Read

Learning Structures: Predictive Representations, Replay, and GeneralizationSemantic proximity Read

Abstract choice representations during stable choice-response associationsSemantic proximity Read

Neural mechanisms of credit assignment for inferred relationships in a structured worldSemantic proximity Read

Linking the brain with behaviour: the neural dynamics of success and failure in goal-directed behaviourSemantic proximity Read

Neural representations supporting generalization under continual learningSemantic proximity Read

'The eyes are the window to the representation': Linking gaze to memory precision and decision weights in object discrimination tasksSemantic proximity Read

Interacting with volatile environments stabilizes hidden-state inference and its brain signaturesSemantic proximity Read

Entorhinal and ventromedial prefrontal cortices abstract and generalise the structure of reinforcement learning problemsSemantic proximity Read

Meta-learning attentional strategies in multidimensional reinforcement learningSemantic proximity Read

Abstract neural choice signals during action-linked decisionsSemantic proximity Read

Hybrid Neural-Cognitive Models Reveal Flexible Context-Dependent Information Processing in Reversal LearningSemantic proximity Read

Inferences on a Multidimensional Social Hierarchy Use a Grid-like CodeSemantic proximity Read