Complementary learning systems within the hippocampus: A neural network modelling approach to reconciling episodic memory with statistical learning

Anna C. Schapiro, Nicholas B. Turk-Browne, Matthew M. Botvinick, Kenneth A. Norman

Research output: Contribution to journalArticle

68 Scopus citations

Abstract

A growing literature suggests that the hippocampus is critical for the rapid extraction of regularities from the environment. Although this fits with the known role of the hippocampus in rapid learning, it seems at odds with the idea that the hippocampus specializes in memorizing individual episodes. In particular, the Complementary Learning Systems theory argues that there is a computational trade-off between learning the specifics of individual experiences and regularities that hold across those experiences. We asked whether it is possible for the hippocampus to handle both statistical learning and memorization of individual episodes. We exposed a neural network model that instantiates known properties of hippocampal projections and subfields to sequences of items with temporal regularities. We found that the monosynaptic pathway—the pathway connecting entorhinal cortex directly to region CA1—was able to support statistical learning, while the trisynaptic pathway—connecting entorhinal cortex to CA1 through dentate gyrus and CA3—learned individual episodes, with apparent representations of regularities resulting from associative reactivation through recurrence. Thus, in paradigms involving rapid learning, the computational trade-off between learning episodes and regularities may be handled by separate anatomical pathways within the hippocampus itself.

Original languageEnglish (US)
Article number20160049
JournalPhilosophical Transactions of the Royal Society B: Biological Sciences
Volume372
Issue number1711
DOIs
StatePublished - Jan 5 2017

All Science Journal Classification (ASJC) codes

  • Biochemistry, Genetics and Molecular Biology(all)
  • Agricultural and Biological Sciences(all)

Keywords

  • Associative inference
  • Community structure
  • Medial temporal lobe
  • Neural network model
  • Temporal regularities

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