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Remembering the "when": Hebbian memory models for the time of past events.

Code ↔ Paper

1 match between paragraphs of the paper and lines of its authors' code, computed by the harvester (lexical-v1). Click a colored paragraph or line to see its counterpart.

The 1 match
  1. [1] § 2. Results › 2.4. Examples of episodic-like memory systems › 2.4.6. A what-where-when memory system for food caching animals. ↔ scripts/sims.jl, lines 597–675 · score 0.56 · cache locations, caching events, probed, food, simulations, reward

Paper

Loaded from Europe PMC by your browser, not stored by OSCR: doi.org · Europe PMC

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The authors' code

Julia · 794 lines · 33 KB · no license · 1 match

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It can be read at the source: scripts/sims.jl.

Overview

  1. School of Computer and Communication Science, École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland
  2. Brain Mind Institute, School of Life Science, École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland
Journal: PLoS computational biology, volume 22, issue 7, article e1014575
Dates: received 23 June 2025; accepted 14 July 2026; published online 28 July 2026
Type: Research article · Language: English
License: CC BY
Identifiers: DOI 10.1371/journal.pcbi.1014575 · PMID 42520083 · PMCID PMC13436827 · OpenAlex W4310968086
Open access: gold, a free copy (OpenAlex)
Status: code verified
Categories: computational modeling (no new data) (modality), human (organism)
Methods: Statistics
MeSH: Memory*, Models, Neurological*, Animals, Computational Biology, Computer Simulation, Humans, Nerve Net, Neuronal Plasticity (* major topic)
Journal subjects: Biology and Life Sciences, Cell Biology, Cellular Types, Animal Cells, Neurons, Neuroscience, Cellular Neuroscience, Cognitive Science, Cognition, Memory, Learning and Memory, Memory Recall, Cognitive Psychology, Learning, Psychology, Social Sciences, Synaptic Plasticity, Developmental Neuroscience, Neuronal Plasticity, Computational Biology, Computational Neuroscience, Coding Mechanisms, Anatomy, Nervous System, Synapses, Medicine and Health Sciences, Physiology, Electrophysiology, Neurophysiology
Topic: Memory and Neural Mechanisms (Cognitive Neuroscience, Neuroscience), according to OpenAlex
Funding: Swiss National Science Foundation (200020_184615)
Citations: not cited yet (Europe PMC); 118 references in the paper

Abstract

Humans and animals can remember how long ago specific events happened. Little is known about the neural mechanisms that enable remembering the “when” of memories stored for long durations in the episodic memory system – in contrast to interval-timing on the order of seconds and minutes. Based on a systematic exploration of neural coding, association and retrieval schemes, we develop model classes that span the space of possible mechanisms for the reconstruction of the time of past events. In concrete examples we show how network architecture, Hebbian plasticity, synaptic pruning or systems consolidation allow the retrieval of the time of past events. In a simulation, we demonstrate how these mechanisms would enable food-caching animals such as corvids to remember what they cached, where, and how long ago. To dissociate different hypotheses, we propose three kinds of novel, non-verbal experiments that can be run with humans and animals. Our simulations predict the experimental results for different classes of models. Our study shows that remembering the “when” can be implemented by many biologically plausible mechanisms and that carefully designed experiments are needed to pin down the actual neural implementation of the memory for the time of past events in different species.

Reproduced under the paper's license (CC BY), from the paper cited above.

Repository

Its files are read in the Code ↔ Paper reader above, with 1 match between paragraphs and lines of code.

jbrea/RememberingTheWhen.jl

License: none: the authors keep all their rights
State: the link answers, verified on 27 September 2026
Evidence: files inventoried
Commit: e6c09f28fb90f7f236e2358241bd74a8a47534fb, 1 May 2026
Languages: Julia (3)
Size: 7 files, 3 scripts
Software Heritage: not archived
Found in: “Data Availability”
Holds: README, environment (Project.toml, scripts/Manifest.toml, scripts/Project.toml), tests
Not found: license file, CITATION.cff, continuous integration, documentation
Tools: DataFrames.jl (1 file), Distributions.jl (1 file)
Availability: 1 check, the latest on 27 September 2026: the link answers
  • 27 September 2026: the link answers
4 files, not copied: shown from their source

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The paper's code and data availability statement is in the Data section.

Tracing map

Proposed by the machine: these links were found in the paper and verified at the source, without human review. The map will receive a Zenodo DOI once one of the paper's authors has validated it with their ORCID.

What the map holds:

  • 1 repository of the authors' code, each at its verified commit, with its license and how the link was found in the paper;
  • 3 scripts, each with its path and the digest of its content;
  • 1 match between paragraphs of the paper and lines of the code (method lexical-v1);
  • neither the text of the paper nor the code itself.

Its JSON (tracing-map.json) is deposited on Zenodo with its DOI once the map is validated.

Data

No dataset and no data link were found in the paper.

Data Availability

The code for all simulations is available at https://github.com/jbrea/RememberingTheWhen.jl.

Reproduced under the paper's license (CC BY), from the paper cited above.

Versions

The history of this record: each version stored by the harvester or made by a correction of its authors or of the maintainers of its code, and what changed in its facts. The texts of the paper (its abstract, its availability statements) are not part of it; versions that changed only those are not listed.

Version 2, 28 September 2026

  • Authors: added Alireza Modirshanechi (0000-0002-7870-8602); Georgios Iatropoulos (0000-0001-6978-311X); Wulfram Gerstner (0000-0002-4344-2189); removed Alireza Modirshanechi; Georgios Iatropoulos; Wulfram Gerstner

Version 1, 27 September 2026: the first record

Recorded: type, language, journal, volume, issue, pages, dates, 4 authors, 8 MeSH terms, 1 funder, 106 references.

Cite

This paper

Brea, J., Modirshanechi, A., Iatropoulos, G., & Gerstner, W. (2026). Remembering the "when": Hebbian memory models for the time of past events. PLoS computational biology, 22(7), e1014575. https://doi.org/10.1371/journal.pcbi.1014575

BibTeX

@article{brea2026remembering,
author = {Brea, Johanni and Modirshanechi, Alireza and Iatropoulos, Georgios and Gerstner, Wulfram},
title = {{Remembering the "when": Hebbian memory models for the time of past events}},
journal = {PLoS computational biology},
year = {2026},
month = jul,
volume = {22},
number = {7},
pages = {e1014575},
publisher = {PLOS},
issn = {1553-734X},
doi = {10.1371/journal.pcbi.1014575},
url = {https://doi.org/10.1371/journal.pcbi.1014575},
pmid = {42520083},
pmcid = {PMC13436827}
}

RIS

TY - JOUR
AU - Brea, Johanni
AU - Modirshanechi, Alireza
AU - Iatropoulos, Georgios
AU - Gerstner, Wulfram
TI - Remembering the "when": Hebbian memory models for the time of past events
T2 - PLoS computational biology
J2 - PLoS Comput Biol
PY - 2026
DA - 2026/07/28
VL - 22
IS - 7
SP - e1014575
SN - 1553-734X
PB - PLOS
DO - 10.1371/journal.pcbi.1014575
UR - https://doi.org/10.1371/journal.pcbi.1014575
LA - en
ER -

CSL-JSON

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