Evidence mapPaperPMID 41798760Full record

ArticleTranslational neuroscience2026

The active construction of past episodes.

Thomas Parr, Giovanni Pezzulo, Karl J Friston

Abstract read
In one paragraph

Article in Translational neuroscience, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

Thomas ParrNuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK.ORCID https://orcid.org/0000-0001-5108-5743
Giovanni PezzuloInstitute of Cognitive Sciences and Technologies, National Research Council, Rome, Italy.
Karl J FristonWellcome Centre for Human Neuroimaging, University College London, London, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Episodic memories - declarative memories of past events, characterized by rich spatiotemporal context - play a central role in guiding perception and behaviour. Here, we advance a model that integrates episodic memories within the active inference framework. We describe how episodic memories are incorporated into the generative models used in active inference to support the re-construction, replay and communication of past events. In doing so, we foreground two foundational themes. The first is the message passing in deep temporal models that allow one to actively construct memories of episodes. The second is the communicative aspect of declarative memories, and the way in which one might recount something from one's autobiography. In effect, this means that the message passing that supports episodic memory propagates information about what we have done - or what we would do - given past circumstances to draw inferences about how to communicate those beliefs. Together, these themes emphasise that we are not passive recorders of the things that happen to us. We are active participants in the events we recall and in the telling of stories about them.

Indexed as

active inferenceepisodic memorygenerative modelhierarchicalhippocampusreplay

Identifiers

PMID41798760
PMCPMC12962733

What Socratic 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 Socratic graph.