Evidence map›Paper›PMID 42768193›Full record

ArticleNeuroscience bulletin2026

A Brain-wide Neuronal Spiking and Behavioral Dataset for Working Memory-specific Activation and Reactivation in Mice.

Ermeng Huang, Da Xu, Huangao Zhu, Zhaoqin Chen, Peiyuan Li, Yulei Chen, Shujun Lei, Jiawei Liu, Chengyu Li, Xiaoxing Zhang

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Article in Neuroscience bulletin, 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

10 authors.

Ermeng Huang *State Key Laboratory of Neuroscience, Institute of Neuroscience, CAS Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai, 200031, China.
Da Xu *State Key Laboratory of Neuroscience, Institute of Neuroscience, CAS Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai, 200031, China.
Huangao Zhu *State Key Laboratory of Neuroscience, Institute of Neuroscience, CAS Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai, 200031, China.
Zhaoqin ChenShanghai Center for Brain Science and Brain-Inspired Technology, Shanghai, 201602, China.
Peiyuan LiLingang Laboratory, Shanghai, 201100, China.
Yulei ChenShanghai Center for Brain Science and Brain-Inspired Technology, Shanghai, 201602, China.
Shujun LeiShanghai Center for Brain Science and Brain-Inspired Technology, Shanghai, 201602, China.
Jiawei LiuState Key Laboratory of Neuroscience, Institute of Neuroscience, CAS Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai, 200031, China.
Chengyu LiState Key Laboratory of Neuroscience, Institute of Neuroscience, CAS Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai, 200031, China. tonylicy@lglab.ac.cn.ORCID http://orcid.org/0000-0001-6829-0209
Xiaoxing ZhangShanghai Center for Brain Science and Brain-Inspired Technology, Shanghai, 201602, China. xiaoxing.zhang@lglab.ac.cn.ORCID http://orcid.org/0000-0001-5229-6091

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

How does millisecond-scale neural activity mediate multi-second behaviors such as working memory? This dataset provides brain-wide, high-spatiotemporal-resolution, single-unit spiking activity data recorded from 40 head-fixed mice performing an olfactory delayed paired-association (ODPA) task, encompassing 33,028 neurons across 62 anatomically defined brain regions. This dataset enables millisecond-scale analyses of within- and cross-region spike couplings enriched among memory-content-selective neurons. These couplings can be used to identify higher-order, hierarchically structured activity motifs. Because these multi-neuron patterns are captured during both active task performance and spontaneous inter-trial intervals, this dataset provides a resource for studying replay-related activity and testing hypotheses regarding circuit-level processes associated with perceptual working memory. This dataset supports broad investigations of cross-regional spike organization, functional coupling, and temporal coding in working memory circuits.

Indexed as

Neural networksNeuroscienceWorking memory

Identifiers

PMID42768193

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.