Evidence map›Paper›PMID 42845711›Full record

ArticleResearch square2026

Low-dimensional factorized neural computations underlie risk-adaptive choices.

T Alexander Price, Andrew Liu, Rhiannon L Cowan, Niloufar Shahdoust, Tyler S Davis, Bornali Kundu, John D Rolston, Shervin Rahimpour, Ben Shofty, Alla Borisyuk and 1 more

Abstract readPreprint
PubMed Full text at PMC Publisher
In one paragraph

Article in Research square, 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

11 authors.

T Alexander PriceDepartment of Neurosurgery, University of Utah, Salt Lake City, UT; 84132.
Andrew LiuMathematics Department, University of Utah, Salt Lake City, UT; 84112.
Rhiannon L CowanDepartment of Neurosurgery, University of Utah, Salt Lake City, UT; 84132.
Niloufar ShahdoustDepartment of Neurosurgery, University of Utah, Salt Lake City, UT; 84132.
Tyler S DavisDepartment of Neurosurgery, University of Utah, Salt Lake City, UT; 84132.
Bornali KunduNeurological Surgery, University of Missouri, Columbia, MO; 65212.
John D RolstonHarvard Medical School, Boston, MA; 02115.
Shervin RahimpourDepartment of Neurosurgery, University of Utah, Salt Lake City, UT; 84132.
Ben ShoftyDepartment of Neurosurgery, University of Utah, Salt Lake City, UT; 84132.
Alla BorisyukInterdepartmental Program in Neuroscience, University of Utah, Salt Lake City, UT; 84112.
Elliot H SmithDepartment of Neurosurgery, University of Utah, Salt Lake City, UT; 84132.ORCID 0000-0003-4323-4643

Funding

The role of distributional reinforcement learning in human neurons during impulsive choicesR01MH128187 · NIMH · UTAH STATE HIGHER EDUCATION SYSTEM--UNIVERSITY OF UTAH · PI Elliot H Smith · 2022 to 2026
$2.4M
NIMH NIH HHS R01 MH128187
6 · The paper itself

Abstract

Real-world decision-making rarely occurs with perfect information. Instead, individuals must constantly weigh potential rewards against the probability of adverse outcomes.

Indexed as

dynamical computationReinforcement learningrisky choices

Identifiers

PMID42845711
PMCPMC13640892

What OpenQuestion holds

Textmetadata
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.