The human hippocampus can pattern separate memories by meaning.
The 9 matches
- [1] § Behavioral Methods › Materials. › Covariate assessments. ↔ scripts/smst2_bids_participants_maker.py, lines 191–215 · score 0.70 · WAIS IV, Digit Symbol, subtests, Vocabulary, covariate, words
- [2] § Behavioral Methods › MRI Methods. › Hippocampal subfield segmentation. ↔ scripts/smst_mr1_HCmask_snapshot.sh, lines 1–50 · score 0.64 · coronal slices, template T1, brain, masks, SI
- [3] § Behavioral Methods › Materials. › Main task (sMST). › Stimuli. ↔ scripts/smst2_bids_tsv_maker.py, lines 303–386 · score 0.63 · Hungarian National Corpus, imageability, metric, arousal, concreteness, fillers
- [4] § Behavioral Methods › MRI Methods. › Analysis. ↔ scripts/smst_mr1_analysis.Rmd, lines 156–247 · score 0.61 · close lure, distant lure, lure correct, incorrect, hits, foil
- [5] § Results › RS Sensitive Clusters in the Hippocampal Head Differentially Activate for Exact Repeats and Modified Repeats During Encoding. ↔ scripts/smst_mr1_analysis.Rmd, lines 2190–2332 · score 0.61 · DG CA3, right hemisphere, left hemisphere, CA12, ROI, Facets
- [6] § Results › Neural Response Is Increased for Semantically Close Modified Phrases Compared to Exact Repetitions, with No Further Difference between Semantic Similarity Bins. ↔ scripts/smst_mr1_analysis.Rmd, lines 2190–2332 · score 0.54 · DG CA3, distant repeats, CA1, anatomically, ANOVA, head
- [7] § Behavioral Methods › Analysis. ↔ scripts/smst_mr1_analysis.Rmd, lines 398–440 · score 0.54 · Wald, confint, intercept, arousal, concreteness, GLMEMs
- [8] § Results › RS Sensitive Clusters in the Hippocampal Head Differentially Activate for Exact Repeats and Modified Repeats During Encoding. ↔ scripts/smst_mr1_analysis.Rmd, lines 442–540 · score 0.53 · Post hoc, covariate, clusters, encoding
- [9] § Results › Clusters Sensitive to Repetition at Encoding Do Not Track Mnemonic Discrimination Success within Lures but Differentiate Correctly Rejected Lures from Correctly Rejected Foils During Recogni ↔ scripts/smst_mr1_analysis.Rmd, lines 3552–3596 · score 0.50 · lure correct rejections, target hits, modified repeat, baseline, clusters
Paper
Loaded from Europe PMC by your browser, not stored by OSCR: doi.org · Europe PMC
The paper is loaded when this pane is shown.
The authors' code
R Markdown · 5,188 lines · 155 KB · no license · 6 matches
smst_mr1_analysis.Rmd at commit b1f8280, no license · at the source
Overview
- Doctoral School of Psychology, Eötvös Loránd University, Budapest 1075, Hungary
- Brain Imaging Centre, Hungarian Research Network, Research Centre for Natural Sciences, Budapest 1117, Hungary
- Institute of Psychology, Eötvös Loránd University, Budapest 1064, Hungary
- Mental Health Sciences Division, Doctoral School, Semmelweis University, Budapest 1085, Hungary
- Konkoly Observatory, Hungarian Research Network, Research Centre for Astronomy and Earth Sciences, Budapest 1121, Hungary
- Wigner Data Center, Hungarian Research Network, Wigner Research Centre for Physics, Budapest 1121, Hungary
- Hungarian Academy of Sciences Centre of Excellence, Hungarian Research Network, Research Centre for Astronomy and Earth Sciences, Budapest 1121, Hungary
- Max Planck Partner Group of the Max Planck Institute for Human Development, Hippocampal Circuit and Code for Cognition Lab, Budapest 1117, Hungary
Abstract
The abstract is not reproduced here: the paper's license (CC BY-NC-ND) does not allow it. Read it in the paper, at the publisher or on Europe PMC.
Repositories
Its files are read in the Code ↔ Paper reader above, with 9 matches between paragraphs and lines of code.
Zenodo 18395407
Availability: 1 check, the latest on 27 September 2026: the link answers (HTTP 200)
- 27 September 2026: the link answers (HTTP 200)
10 files
- scripts/
smst2_bids_participants_ — Python, 216 linesmaker.py - scripts/
smst2_bids_tsv_maker.py — Python, 529 lines - scripts/
smst2_bids_tsv_maker_ses — Python, 359 lines02.py - scripts/
smst2_mr_summarize_ses01 — Python, 65 lines.py - sem_mst_2_mr.py — Python, 4,024 lines
- sem_mst_2_mr_enc_lastrun
.py — Python, 2,712 lines - sem_mst_2_mr_lastrun.py — Python, 3,876 lines
- sem_mst_2_mr_rec_lastrun
.py — Python, 2,814 lines - sem_mst_2_mr_session2_ma
pping_lastrun.py — Python, 2,883 lines - README.md — Text, 35 lines
Zenodo 20090797
Availability: 1 check, the latest on 27 September 2026: the link answers (HTTP 200)
- 27 September 2026: the link answers (HTTP 200)
6 files
- scripts/
smst_mr1_HCmask_snapshot — Shell, 169 lines.sh - scripts/
smst_mr1_MNIcoordinates. — Python, 479 linespy - scripts/
smst_mr1_analysis.Rmd — R, 5,188 lines - scripts/
smst_mr1_powerfunction.m — MATLAB, 192 lines - scripts/
smst_mr1_powerfunction_a — MATLAB, 192 linesnat.m - README.md — Text, 19 lines
ilyesalex/smst2_mr_experiment
c73d841427fd9ac13d6434ad2bf9b971ab5c2e56, 27 January 2026Availability: 1 check, the latest on 27 September 2026: the link answers
- 27 September 2026: the link answers
10 files, not copied: shown from their source
OSCR keeps no copy of these files: this repository has no license that allows it. The reader above shows each one from its source, fetched by your browser at commit c73d841, when its fingerprint is the one OSCR verified. How this works.
- scripts/
smst2_bids_participants_ — Python, 216 lines, 1 match, shown from its sourcemaker.py - scripts/
smst2_bids_tsv_maker.py — Python, 529 lines, 1 match, shown from its source - scripts/
smst2_bids_tsv_maker_ses — Python, 359 lines, shown from its source02.py - scripts/
smst2_mr_summarize_ses01 — Python, 65 lines, shown from its source.py - sem_mst_2_mr.py — Python, 4,024 lines, shown from its source
- sem_mst_2_mr_enc_lastrun
.py — Python, 2,712 lines, shown from its source - sem_mst_2_mr_lastrun.py — Python, 3,876 lines, shown from its source
- sem_mst_2_mr_rec_lastrun
.py — Python, 2,814 lines, shown from its source - sem_mst_2_mr_session2_ma
pping_lastrun.py — Python, 2,883 lines, shown from its source - README.md — Text, 35 lines, shown from its source
ilyesalex/smst2_mr_analysis
b1f8280750fbe099b86224e616a30e5db4c0f85a, 8 May 2026Availability: 1 check, the latest on 27 September 2026: the link answers
- 27 September 2026: the link answers
6 files, not copied: shown from their source
OSCR keeps no copy of these files: this repository has no license that allows it. The reader above shows each one from its source, fetched by your browser at commit b1f8280, when its fingerprint is the one OSCR verified. How this works.
- scripts/
smst_mr1_HCmask_snapshot — Shell, 169 lines, 1 match, shown from its source.sh - scripts/
smst_mr1_MNIcoordinates. — Python, 479 lines, shown from its sourcepy - scripts/
smst_mr1_analysis.Rmd — R, 5,188 lines, 6 matches, shown from its source - scripts/
smst_mr1_powerfunction.m — MATLAB, 192 lines, shown from its source - scripts/
smst_mr1_powerfunction_a — MATLAB, 192 lines, shown from its sourcenat.m - README.md — Text, 19 lines, shown from its source
The paper's code and data availability statement is in the Data section.
Tracing map
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Data
Datasets cited
- openneuro:ds007275 — at OpenNeuro; found in the references
Code and data availability statement
The paper has a code and data availability statement. Its license (CC BY-NC-ND) does not allow reproducing it here; in short, from what the harvester recognized in it:
- no repository, dataset or request procedure was recognized in it
Read it in the paper: doi.org/10.1073/pnas.2603114123.
Versions
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Version 1, 27 September 2026: the first record
Recorded: type, language, journal, volume, issue, pages, dates, 4 authors, 5 keywords, 12 MeSH terms, 5 funders, 123 references.
Cite
This paper
Ilyés, A., Brosig, B. M., Mező, G., & Keresztes, A. (2026). The human hippocampus can pattern separate memories by meaning. Proceedings of the National Academy of Sciences of the United States of America, 123(31), e2603114123. https://
BibTeX
@article{ilyes2026human,
author = {Ilyés, Alex and Brosig, Borbála Mónika and Mező, György and Keresztes, Attila},
title = {{The human hippocampus can pattern separate memories by meaning}},
journal = {Proceedings of the National Academy of Sciences of the United States of America},
year = {2026},
month = jul,
volume = {123},
number = {31},
pages = {e2603114123},
publisher = {National Academy of Sciences},
issn = {0027-8424},
doi = {10.1073/
url = {https://
pmid = {42520121},
pmcid = {PMC13438472}
}
RIS
TY - JOUR
AU - Ilyés, Alex
AU - Brosig, Borbála Mónika
AU - Mező, György
AU - Keresztes, Attila
TI - The human hippocampus can pattern separate memories by meaning
T2 - Proceedings of the National Academy of Sciences of the United States of America
J2 - Proc Natl Acad Sci U S A
PY - 2026
DA - 2026/
VL - 123
IS - 31
SP - e2603114123
SN - 0027-8424
PB - National Academy of Sciences
DO - 10.1073/
UR - https://
LA - en
ER -
CSL-JSON
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