Hippocampal and medial prefrontal cortices encode structural task representations following progressive and interleaved training schedules

PLoS Comput Biol. 2022 Oct 17;18(10):e1010566. doi: 10.1371/journal.pcbi.1010566. eCollection 2022 Oct.

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.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Hippocampus*
  • Humans
  • Learning
  • Magnetic Resonance Imaging* / methods
  • Prefrontal Cortex / diagnostic imaging
  • Temporal Lobe

Grants and funding

This project has received funding from the European Research Council (ERC) under the European Union's Horizon 2020 research and innovation programme, grant number: 819526 to C. M. B. The funders had no role in the study design, data collection and analysis, decision to publish, or preparation of the manuscript.