Evidence map›Paper›PMID 42520121›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2026

The human hippocampus can pattern separate memories by meaning.

Alex Ilyés, Borbála Mónika Brosig, György Mező, Attila Keresztes

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

4 authors.

Alex IlyésDoctoral School of Psychology, Eötvös Loránd University, Budapest 1075, Hungary.ORCID 0000-0003-0804-334X
Borbála Mónika BrosigBrain Imaging Centre, Hungarian Research Network, Research Centre for Natural Sciences, Budapest 1117, Hungary.ORCID 0009-0008-5182-8779
György MezőKonkoly Observatory, Hungarian Research Network, Research Centre for Astronomy and Earth Sciences, Budapest 1121, Hungary.ORCID 0000-0002-0686-7479
Attila KeresztesBrain Imaging Centre, Hungarian Research Network, Research Centre for Natural Sciences, Budapest 1117, Hungary.

Funding

Eotvos Lorand University Doctoral Projects 2022 Doctoral Projects 2023Hungarian Academy of Sciences 0708-21 515 ATHungarian National Research, Development and Innovation Office FK128648 and FK146496Max Planck Society Max Planck Partner GroupUniversity Research Scholarship Program of the Ministry for Culture and Innovation EKÖP-24-2-I-ELTE-687University Research Scholarship Program of the Ministry for Culture and Innovation EKÖP-25-4-I-ELTE-1020
6 · The paper itself

Abstract

Hippocampal pattern separation is a neural operation supporting mnemonic discrimination of highly similar memories by orthogonalizing neural inputs into nonoverlapping representations. In humans, pattern separation is thought to support the specificity of episodic memories. Recent neuroimaging studies suggest that the hippocampus can also access and manipulate semantic information. However, it is unclear whether the hippocampus can pattern separate highly similar semantic representations. Here, we tested multiple neural and behavioral signatures of pattern separation using high-resolution functional MRI during a well-established memory discrimination task where we manipulated semantic similarity in a multidimensional conceptual space using word-embeddings. Thirty young adults (Mage = 21.1, 16 females) saw adjective-noun phrases (e.g., "exotic zoo") that were later repeated exactly as before or modified with semantically similar adjectives (e.g., "strange zoo"). Crucially, we presented exact and modified repeats both during an incidental encoding and a two-choice recognition phase, where mnemonic discrimination was assessed. Consistent with pattern separation, we found attenuated repetition suppression for modified repeats in repetition sensitive clusters of the hippocampal head, which was evident at both high and low levels of similarity with no difference between two a priori defined similarity bins. In addition, within participants, the neural signature of pattern separation was associated with mnemonic discrimination at recognition. Finally, clusters sensitive to repetitions during encoding differentiated lures from foils at recognition. These results suggest that hippocampal pattern separation is triggered by fine-grained differences in meaning and supports the creation of highly specific representations of memories overlapping in semantic memory.

Indexed as

HippocampusMemoryAdultBrain MappingFemaleHumansMagnetic Resonance ImagingMaleMemory, EpisodicRecognition, PsychologySemanticsYoung Adultepisodic memorypattern separationrepetition suppressionsemantic similarityword2vec

Identifiers

PMID42520121
PMCPMC13438472

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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.