Evidence map›Paper›PMID 35020718›Full record

ArticlePLoS computational biology2022

Optimism and pessimism in optimised replay.

Georgy Antonov, Christopher Gagne, Eran Eldar, Peter Dayan

Abstract read
In one paragraph

Article in PLoS computational biology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Article
  3. Exploring replay.Nature communications · 2025
    Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. 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.

Georgy AntonovMax Planck Institute for Biological Cybernetics, Tübingen, Germany.ORCID 0000-0001-8887-6784
Christopher GagneMax Planck Institute for Biological Cybernetics, Tübingen, Germany.ORCID 0000-0003-2241-5285
Eran EldarDepartment of Psychology, Hebrew University of Jerusalem, Jerusalem, Israel.ORCID 0000-0001-8988-6124
Peter DayanMax Planck Institute for Biological Cybernetics, Tübingen, Germany.ORCID 0000-0003-3476-1839

Funding

Neurocomputational studies of mood-related momentum dynamics linking reward learning, valuation and responsivityR01MH124092 · NIMH · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI DOMBROVSKI, ALEXANDRE Y., ELDAR, ERAN PLAYFAIR · 2020 to 2024
$5.3M
CRCNS US-Israel Research Proposal: Computational Phenotyping of Decision Making in Adolescent PsychopathologyR01MH125564 · NIMH · PRINCETON UNIVERSITY · PI NIV, YAEL · 2020 to 2024
$1.3M
NIMH NIH HHS R01 MH124092NIMH NIH HHS R01 MH125564
6 · The paper itself

Abstract

The replay of task-relevant trajectories is known to contribute to memory consolidation and improved task performance. A wide variety of experimental data show that the content of replayed sequences is highly specific and can be modulated by reward as well as other prominent task variables. However, the rules governing the choice of sequences to be replayed still remain poorly understood. One recent theoretical suggestion is that the prioritization of replay experiences in decision-making problems is based on their effect on the choice of action. We show that this implies that subjects should replay sub-optimal actions that they dysfunctionally choose rather than optimal ones, when, by being forgetful, they experience large amounts of uncertainty in their internal models of the world. We use this to account for recent experimental data demonstrating exactly pessimal replay, fitting model parameters to the individual subjects' choices.

Indexed as

Computational BiologyDecision MakingHumansMemory ConsolidationModels, NeurologicalOptimismPessimismUncertainty

Identifiers

PMID35020718
PMCPMC8809607

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.