ArticleScientific reports2021
Learning exceptions to the rule in human and model via hippocampal encoding.
Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed.
- Designing recruitment strategies for population-based human biomonitoring: evidence on participation and representativeness from Latvia.Archives of public health = Archives belges de sante publique · 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
- 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
- Reconciling category exceptions through representational shifts.Psychonomic bulletin & review · 2024Article
- Object Feature Memory Is Distorted by Category Structure.Open mind : discoveries in cognitive science · 2024Article
- Learning exceptions to category rules varies across the menstrual cycle.Scientific reports · 2023Article
- Article
- Coherent category training enhances generalization in prototype-based categories.Journal of experimental psychology. Learning, memory, and cognition · 2023Article
- How AI can learn from the law: putting humans in the loop only on appeal.NPJ digital medicine · 2023Review
- Hippocampal and medial prefrontal cortices encode structural task representations following progressive and interleaved training schedules.PLoS computational biology · 2022Article
Corrections and comments
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Authors and funding
3 authors.
Funding
Abstract
Category learning helps us process the influx of information we experience daily. A common category structure is "rule-plus-exceptions," in which most items follow a general rule, but exceptions violate this rule. People are worse at learning to categorize exceptions than rule-following items, but improved exception categorization has been positively associated with hippocampal function. In light of model-based predictions that the nature of existing memories of related experiences impacts memory formation, here we use behavioural and computational modelling data to explore how learning sequence impacts performance in rule-plus-exception categorization. Our behavioural results indicate that exception categorization accuracy improves when exceptions are introduced later in learning, after exposure to rule-followers. To explore whether hippocampal learning systems also benefit from this manipulation, we simulate our task using a computational model of hippocampus. The model successful replicates our behavioural findings related to exception learning, and representational similarity analysis of the model's hidden layers suggests that model representations are impacted by trial sequence: delaying the introduction of an exception shifts its representation closer to its own category members. Our results provide novel computational evidence of how hippocampal learning systems can be targeted by learning sequence and bolster extant evidence of hippocampus's role in category learning.
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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.