ArticlePLoS computational biology2022
Hippocampal and medial prefrontal cortices encode structural task representations following progressive and interleaved training schedules.
Article in PLoS computational biology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed.
- Stress-related neuroplasticity and developmental vulnerability in functional neurological disorder: from adverse experience to maladaptive overlearning.Frontiers in molecular neuroscience · 2026Review
- Asymmetric learning and adaptability to changes in relational structure during transitive inference.Communications psychology · 2025Article
- Emergent neural dynamics and geometry for generalization in a transitive inference task.PLoS computational biology · 2024Article
- Sleep-related benefits to transitive inference are modulated by encoding strength and joint rank.Learning & memory (Cold Spring Harbor, N.Y.) · 2023Article
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2 authors.
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Abstract
Memory generalisations may be underpinned by either encoding- or retrieval-based generalisation mechanisms and different training schedules may bias some learners to favour one of these mechanisms over the other. We used a transitive inference task to investigate whether generalisation is influenced by progressive vs randomly interleaved training, and overnight consolidation. On consecutive days, participants learnt pairwise discriminations from two transitive hierarchies before being tested during fMRI. Inference performance was consistently better following progressive training, and for pairs further apart in the transitive hierarchy. BOLD pattern similarity correlated with hierarchical distances in the left hippocampus (HIP) and medial prefrontal cortex (MPFC) following both training schedules. These results are consistent with the use of structural representations that directly encode hierarchical relationships between task features. However, such effects were only observed in the MPFC for recently learnt relationships. Furthermore, the MPFC appeared to maintain structural representations in participants who performed at chance on the inference task. We conclude that humans preferentially employ encoding-based mechanisms to store map-like relational codes that can be used for memory generalisation. These codes are expressed in the HIP and MPFC following both progressive and interleaved training but are not sufficient for accurate inference.
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