Evidence map›Paper›PMID 39524342›Full record

ArticleiScience2024

Global neural encoding of behavioral strategies in mice during perceptual decision-making task with two different sensory patterns.

Shuo Wang, Huayi Gao, Yutaro Ueoka, Kotaro Ishizu, Akihiro Funamizu

Abstract read
In one paragraph

Article in iScience, 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
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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

5 authors.

Shuo WangInstitute for Quantitative Biosciences, the University of Tokyo, Laboratory of Neural Computation, 1-1-1 Yayoi, Bunkyo-ku, Tokyo 113-0032, Japan.
Huayi GaoInstitute for Quantitative Biosciences, the University of Tokyo, Laboratory of Neural Computation, 1-1-1 Yayoi, Bunkyo-ku, Tokyo 113-0032, Japan.
Yutaro UeokaInstitute for Quantitative Biosciences, the University of Tokyo, Laboratory of Neural Computation, 1-1-1 Yayoi, Bunkyo-ku, Tokyo 113-0032, Japan.
Kotaro IshizuInstitute for Quantitative Biosciences, the University of Tokyo, Laboratory of Neural Computation, 1-1-1 Yayoi, Bunkyo-ku, Tokyo 113-0032, Japan.
Akihiro FunamizuInstitute for Quantitative Biosciences, the University of Tokyo, Laboratory of Neural Computation, 1-1-1 Yayoi, Bunkyo-ku, Tokyo 113-0032, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

When a simple model-free strategy does not provide sufficient outcomes, an inference-based strategy estimating a hidden task structure becomes essential for optimizing choices. However, the neural circuitry involved in inference-based strategies is still unclear. We developed a tone frequency discrimination task in head-fixed mice in which the tone category of the current trial depended on the category of the previous trial. When the tone category was repeated, the mice continued using the default model-free strategy, as well as when the tone was randomly presented, to bias choices. In contrast, when the tone was alternated, the default strategy gradually shifted to a hybrid of model-free and inference-based strategies, although we did not observe distinct strategy changes. Brain-wide electrophysiological recording suggested that the neural activity of the frontal and sensory cortices, hippocampus, and striatum was correlated with the reward expectation in different task conditions, suggesting the global encoding of multiple strategies in the brain.

Indexed as

Behavioral neuroscienceNeuroscienceSensory neuroscience

Identifiers

PMID39524342
PMCPMC11550577

What OpenQuestion holds

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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.