ArticlePhilosophical transactions of the Royal Society of London. Series B, Biological sciences2017
Complementary learning systems within the hippocampus: a neural network modelling approach to reconciling episodic memory with statistical learning.
Article in Philosophical transactions of the Royal Society of London. Series B, Biological sciences, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05910762 (Learning Novel Structure Across Time and Sleep), which is not on this map. Cited by 203 papers, 1 of them a synthesis that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Learning Novel Structure Across Time and Sleep
Who cites it
203 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Age-related differences in hippocampal subfield volumes across the human lifespan: A meta-analysis.Hippocampus · 2023Pooled it
- Trial
- Hippocampal Mechanisms Support Cortisol-Induced Memory Enhancements.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2023Trial
- Article
- Spontaneous emergence of context-dependent statistical learning in humans and neural networks.iScience · 2026Article
- Neural correlates of learning speed reveal developmental differences in memory.Developmental cognitive neuroscience · 2026Article
- Unsupervised nonmotor learning in the human cerebellum.bioRxiv : the preprint server for biology · 2026Article
- The hippocampus rapidly integrates sequence representations during novel multistep predictions.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2026Article
- Stress drives the hippocampus to prioritize statistical prediction over episodic encoding.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2026Article
- Article
- Ventromedial prefrontal cortex supports prototype representations in healthy older adults.Neurobiology of aging · 2026Article
- Functional MRI of the Human Hippocampus at 10.5T: Pushing the Boundaries of Spatial Resolution.bioRxiv : the preprint server for biology · 2026Article
- The prefrontal cortex controls memory organization in the hippocampus.Nature neuroscience · 2026Article
- Distinct Hippocampal Mechanisms Support Concept Formation and Updating.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2026Article
- Menstrual cycle modulates the effect of BDNF Val66Met variant on category learning.Biology of sex differences · 2026Article
- Learning of visual sequences by neurons in the human hippocampus.bioRxiv : the preprint server for biology · 2026Article
- Distinct contributions of hippocampal pathways in learning regularities and exceptions revealed by functional footprints.Proceedings of the National Academy of Sciences of the United States of America · 2026Article
- Distinct CA1 inputs support shifts in neural dimensionality and memory resolution.bioRxiv : the preprint server for biology · 2026Article
- Barcode activity in a recurrent network model of the hippocampus enables efficient memory binding.eLife · 2026Article
- Article
143 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
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.This article is part of the themed issue 'New frontiers for statistical learning in the cognitive sciences'.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.