Evidence map›Paper›PMID 42520083›Full record

ArticlePLoS computational biology2026

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

Johanni Brea, Alireza Modirshanechi, Georgios Iatropoulos, Wulfram Gerstner

Abstract read
In one paragraph

Article in PLoS computational biology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Johanni BreaSchool of Computer and Communication Science, École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland.ORCID https://orcid.org/0000-0002-4636-0891
Alireza ModirshanechiSchool of Computer and Communication Science, École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland.
Georgios IatropoulosSchool of Computer and Communication Science, École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland.
Wulfram GerstnerSchool of Computer and Communication Science, École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

MemoryModels, NeurologicalAnimalsComputational BiologyComputer SimulationHumansNerve NetNeuronal Plasticity

Identifiers

PMID42520083
PMCPMC13436827

What OpenQuestion holds

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Registered trials

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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.