Evidence map›Paper›PMID 39484597›Full record

ArticlebioRxiv : the preprint server for biology2024

Touchscreen response precision is sensitive to the explore/exploit tradeoff.

Dana Mueller, Erin Giglio, Cathy S Chen, Aspen Holm, R Becket Ebitz, Nicola M Grissom

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2024. 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

5 · Who and what money

Authors and funding

6 authors.

Dana MuellerDepartment of Psychology, University of Minnesota, Minneapolis MN 55455.ORCID 0000-0002-3768-6347
Erin GiglioDepartment of Psychology, University of Minnesota, Minneapolis MN 55455.
Cathy S ChenDepartment of Psychology, University of Minnesota, Minneapolis MN 55455.
Aspen HolmDepartment of Psychology, University of Minnesota, Minneapolis MN 55455.
R Becket EbitzDepartment of Neurosciences, Université de Montréal, Quebec, Canada.
Nicola M GrissomDepartment of Psychology, University of Minnesota, Minneapolis MN 55455.

Funding

Using a computational and network neuroscience framework to study pharmacological manipulations of state representation processes in early psychosisP50MH119569 · NIMH · UNIVERSITY OF MINNESOTA · PI A DAVID REDISH, Sophia Vinogradov · 2020 to 2026
$24.5M
NEUROSCIENCE TRAINING IN DRUG ABUSE RESEARCHT32DA007234 · NIDA · UNIVERSITY OF MINNESOTA TWIN CITIES · PI Paul G Mermelstein, Jocelyn M Richard · 1986 to 2026
$10.9M
Sex-biased impacts of 16p11.2 variants on reward-guided choiceR01MH123661 · NIMH · UNIVERSITY OF MINNESOTA · PI GRISSOM, NICOLA · 2020 to 2024
$2.5M
Training in genetic and neurobehavioral mechanisms of addictionT32DA050560 · NIDA · UNIVERSITY OF MINNESOTA · PI Monica Luciana, Scott Ian Vrieze · 2020 to 2026
$2.0M
Using Computation to Achieve Breakthroughs in NeuroscienceT32MH115886 · NIMH · UNIVERSITY OF MINNESOTA · PI REDISH, A DAVID · 2018 to 2022
$1.7M
NIDA NIH HHS T32 DA007234NIDA NIH HHS T32 DA050560NIMH NIH HHS P50 MH119569NIMH NIH HHS R01 MH123661NIMH NIH HHS T32 MH115886
6 · The paper itself

Abstract

The explore/exploit tradeoff is a fundamental property of choice selection during reward-guided decision making. In perceptual decision making, higher certainty decisions are more motorically precise, even when the decision does not require motor accuracy. However, while we can parametrically control uncertainty in perceptual tasks, we do not know what variables - if any - shape motor precision and reflect subjective certainty during reward-guided decision making. Touchscreens are increasingly used across species to measure choice, but provide no tactile feedback on whether an action is precise or not, and therefore provide a valuable opportunity to determine whether actions differ in precision due to explore/exploit state, reward, or individual variables. We find all three of these factors exert independent drives towards increased precision. During exploit states, successive touches to the same choice are closer together than those made in an explore state, consistent with exploit states reflecting higher certainty and/or motor stereotypy in responding. However, exploit decisions might be expected to be rewarded more frequently than explore decisions. We find that exploit choice precision is increased independently of a separate increase in precision due to immediate past reward, suggesting multiple mechanisms regulating choice precision. Finally, we see evidence that male mice in general are less precise in their interactions with the touchscreen than females, even when exploiting a choice. These results suggest that as exploit behavior emerges in reward-guided decision making, individuals become more motorically precise reflecting increased certainty, even when decision choice does not require additional motor accuracy, but this is influenced by individual differences and prior reward. These data uncover the hidden potential for touchscreen tasks in any species to uncover the latent neural states that unite cognition and movement.

Indexed as

BanditHidden Markov model (HMM)Reinforcement LearningSex DifferencesTouchscreen

Identifiers

PMID39484597
PMCPMC11526980

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.