PMID- 36251731 OWN - NLM STAT- MEDLINE DCOM- 20221031 LR - 20221031 IS - 1553-7358 (Electronic) IS - 1553-734X (Print) IS - 1553-734X (Linking) VI - 18 IP - 10 DP - 2022 Oct TI - Hippocampal and medial prefrontal cortices encode structural task representations following progressive and interleaved training schedules. PG - e1010566 LID - 10.1371/journal.pcbi.1010566 [doi] LID - e1010566 AB - 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. FAU - Berens, Sam C AU - Berens SC AUID- ORCID: 0000-0001-8197-8745 AD - School of Psychology, University of Sussex, Brighton, United Kingdom. FAU - Bird, Chris M AU - Bird CM AD - School of Psychology, University of Sussex, Brighton, United Kingdom. LA - eng PT - Journal Article PT - Research Support, Non-U.S. Gov't DEP - 20221017 PL - United States TA - PLoS Comput Biol JT - PLoS computational biology JID - 101238922 SB - IM MH - Humans MH - *Hippocampus MH - *Magnetic Resonance Imaging/methods MH - Temporal Lobe MH - Learning MH - Prefrontal Cortex/diagnostic imaging PMC - PMC9612823 COIS- The authors have declared that no competing interests exist. EDAT- 2022/10/18 06:00 MHDA- 2022/11/01 06:00 PMCR- 2022/10/17 CRDT- 2022/10/17 13:45 PHST- 2022/03/08 00:00 [received] PHST- 2022/09/13 00:00 [accepted] PHST- 2022/10/27 00:00 [revised] PHST- 2022/10/18 06:00 [pubmed] PHST- 2022/11/01 06:00 [medline] PHST- 2022/10/17 13:45 [entrez] PHST- 2022/10/17 00:00 [pmc-release] AID - PCOMPBIOL-D-22-00347 [pii] AID - 10.1371/journal.pcbi.1010566 [doi] PST - epublish SO - PLoS Comput Biol. 2022 Oct 17;18(10):e1010566. doi: 10.1371/journal.pcbi.1010566. eCollection 2022 Oct.