Evidence map›Paper›PMID 42167253›Full record

ArticleNeuron2026

Adaptive reorganization of history encoding in the retrosplenial cortex supports flexible decision-making strategies.

Yu E Zhang, Bethanny P Danskin, Maxwell Zhou, Eeshi Uppalapati, Ashley Medina, Chung-Yueh Lin, Takaki Komiyama

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Neuron, 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

7 authors.

Yu E ZhangDepartment of Neurobiology, University of California, San Diego, La Jolla, CA 92093, USA; Center for Neural Circuits and Behavior, University of California, San Diego, La Jolla, CA 92093, USA; Department of Neurosciences, University of California, San Diego, La Jolla, CA 92093, USA; Halıcıoğlu Data Science Institute, University of California, San Diego, La Jolla, CA 92093, USA.
Bethanny P DanskinDepartment of Neurobiology, University of California, San Diego, La Jolla, CA 92093, USA; Center for Neural Circuits and Behavior, University of California, San Diego, La Jolla, CA 92093, USA; Department of Neurosciences, University of California, San Diego, La Jolla, CA 92093, USA; Halıcıoğlu Data Science Institute, University of California, San Diego, La Jolla, CA 92093, USA.
Maxwell ZhouDepartment of Neurobiology, University of California, San Diego, La Jolla, CA 92093, USA; Center for Neural Circuits and Behavior, University of California, San Diego, La Jolla, CA 92093, USA; Department of Neurosciences, University of California, San Diego, La Jolla, CA 92093, USA; Halıcıoğlu Data Science Institute, University of California, San Diego, La Jolla, CA 92093, USA.
Eeshi UppalapatiDepartment of Neurobiology, University of California, San Diego, La Jolla, CA 92093, USA; Center for Neural Circuits and Behavior, University of California, San Diego, La Jolla, CA 92093, USA; Department of Neurosciences, University of California, San Diego, La Jolla, CA 92093, USA; Halıcıoğlu Data Science Institute, University of California, San Diego, La Jolla, CA 92093, USA.
Ashley MedinaDepartment of Neurobiology, University of California, San Diego, La Jolla, CA 92093, USA; Center for Neural Circuits and Behavior, University of California, San Diego, La Jolla, CA 92093, USA; Department of Neurosciences, University of California, San Diego, La Jolla, CA 92093, USA; Halıcıoğlu Data Science Institute, University of California, San Diego, La Jolla, CA 92093, USA.
Chung-Yueh LinDepartment of Neurobiology, University of California, San Diego, La Jolla, CA 92093, USA; Center for Neural Circuits and Behavior, University of California, San Diego, La Jolla, CA 92093, USA; Department of Neurosciences, University of California, San Diego, La Jolla, CA 92093, USA; Halıcıoğlu Data Science Institute, University of California, San Diego, La Jolla, CA 92093, USA.
Takaki KomiyamaDepartment of Neurobiology, University of California, San Diego, La Jolla, CA 92093, USA; Center for Neural Circuits and Behavior, University of California, San Diego, La Jolla, CA 92093, USA; Department of Neurosciences, University of California, San Diego, La Jolla, CA 92093, USA; Halıcıoğlu Data Science Institute, University of California, San Diego, La Jolla, CA 92093, USA. Electronic address: tkomiyama@ucsd.edu.

Funding

Cortical Control of Motor LearningR01NS091010 · NINDS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI KOMIYAMA, TAKAKI · 2015 to 2024
$3.7M
Cortical plasticity during reinforcement learning - Diversity SupplementR01MH128746 · NIMH · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI Takaki Komiyama · 2022 to 2026
$2.3M
NIMH NIH HHS R01 MH128746NINDS NIH HHS R01 NS091010
6 · The paper itself

Abstract

Effective decision-making in dynamic environments requires adaptive adjustments of behavioral strategies, particularly in how past experiences inform future choices. To explore the neural basis of this adaptability, we trained mice on two decision-making tasks designed to mimic fast-changing or slow-changing environments. Mice adapted their behavioral strategies accordingly, relying on brief history in the former and integrating longer history in the latter. Two-photon calcium imaging across multiple dorsal cortical areas revealed that the retrosplenial cortex (RSC) displayed a wide range of history-integration timescales that shifted in concert with changes in behavior. This shift in timescales involved population-level reorganization of which neurons encoded longer vs. shorter timescales. Furthermore, optogenetic inactivation of RSC impaired the use of history information in both tasks, supporting its importance in history-based strategies. These findings highlight RSC as a key cortical hub that dynamically adapts its temporal integration of past experiences to support flexible, context-dependent decision-making strategies.

Indexed as

Cerebral CortexDecision MakingGyrus CinguliAnimalsMaleMiceMice, Inbred C57BLNeuronsOptogeneticsdecision-makingreinforcement learningretrosplenial cortexvalue

Identifiers

PMID42167253
PMCPMC13293618

What Socratic holds

Textmetadata
LicenceTDM
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 Socratic graph.