Evidence map›Paper›PMID 38253526›Full record

ArticleNature communications2024

Trial-history biases in evidence accumulation can give rise to apparent lapses in decision-making.

Diksha Gupta, Brian DePasquale, Charles D Kopec, Carlos D Brody

Abstract read
In one paragraph

Article in Nature communications, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing 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

24 citing papers in PubMed.

  1. Article
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  3. Decoupling Choice from Motor Response Reduces Choice-History Effects.bioRxiv : the preprint server for biology · 2026
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors.

Diksha GuptaPrinceton Neuroscience Institute, Princeton University, Princeton, NJ, USA. diksha.gupta@ucl.ac.uk.ORCID 0000-0002-8811-3311
Brian DePasqualePrinceton Neuroscience Institute, Princeton University, Princeton, NJ, USA.
Charles D KopecPrinceton Neuroscience Institute, Princeton University, Princeton, NJ, USA.
Carlos D BrodyPrinceton Neuroscience Institute, Princeton University, Princeton, NJ, USA. brody@princeton.edu.ORCID 0000-0002-4201-561X

Funding

Neural circuit underlying decisions driven by accumulation evidenceR01MH108358 · NIMH · PRINCETON UNIVERSITY · PI BRODY, CARLOS D · 2015 to 2019
$2.0M
NIMH NIH HHS R01 MH108358
6 · The paper itself

Abstract

Trial history biases and lapses are two of the most common suboptimalities observed during perceptual decision-making. These suboptimalities are routinely assumed to arise from distinct processes. However, previous work has suggested that they covary in their prevalence and that their proposed neural substrates overlap. Here we demonstrate that during decision-making, history biases and apparent lapses can both arise from a common cognitive process that is optimal under mistaken beliefs that the world is changing i.e. nonstationary. This corresponds to an accumulation-to-bound model with history-dependent updates to the initial state of the accumulator. We test our model's predictions about the relative prevalence of history biases and lapses, and show that they are robustly borne out in two distinct decision-making datasets of male rats, including data from a novel reaction time task. Our model improves the ability to precisely predict decision-making dynamics within and across trials, by positing a process through which agents can generate quasi-stochastic choices.

Indexed as

Mental ProcessesAnimalsBiasMaleRatsReaction Time

Identifiers

PMID38253526
PMCPMC10803295

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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.