Evidence map›Paper›PMID 33288707›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2020

Stable maintenance of multiple representational formats in human visual short-term memory.

Jing Liu, Hui Zhang, Tao Yu, Duanyu Ni, Liankun Ren, Qinhao Yang, Baoqing Lu, Di Wang, Rebekka Heinen, Nikolai Axmacher and 1 more

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.

0numbers the graph read from it
0cells of the map it votes in
30citing 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

30 citing papers in PubMed.

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  20. Representational formats of human memory traces.Brain structure & function · 2024
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors.

Jing LiuState Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, 100875 Beijing, China.ORCID 0000-0002-9167-6190
Hui ZhangDepartment of Neuropsychology, Institute of Cognitive Neuroscience, Faculty of Psychology, Ruhr University Bochum, 44801 Bochum, Germany.
Tao YuBeijing Institute of Functional Neurosurgery, Xuanwu Hospital, Capital Medical University, 100053 Beijing, China.
Duanyu NiBeijing Institute of Functional Neurosurgery, Xuanwu Hospital, Capital Medical University, 100053 Beijing, China.
Liankun RenComprehensive Epilepsy Center of Beijing, Department of Neurology, Xuanwu Hospital, Capital Medical University, 100053 Beijing, China.ORCID 0000-0001-5147-3068
Qinhao YangState Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, 100875 Beijing, China.
Baoqing LuState Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, 100875 Beijing, China.ORCID 0000-0002-4500-0384
Di WangComprehensive Epilepsy Center of Beijing, Department of Neurology, Xuanwu Hospital, Capital Medical University, 100053 Beijing, China.
Rebekka HeinenDepartment of Neuropsychology, Institute of Cognitive Neuroscience, Faculty of Psychology, Ruhr University Bochum, 44801 Bochum, Germany.ORCID 0000-0002-6888-8101
Nikolai AxmacherState Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, 100875 Beijing, China.ORCID 0000-0002-0475-6492
Gui XueState Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, 100875 Beijing, China; gxue@bnu.edu.cn.ORCID 0000-0001-7891-8151

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Visual short-term memory (VSTM) enables humans to form a stable and coherent representation of the external world. However, the nature and temporal dynamics of the neural representations in VSTM that support this stability are barely understood. Here we combined human intracranial electroencephalography (iEEG) recordings with analyses using deep neural networks and semantic models to probe the representational format and temporal dynamics of information in VSTM. We found clear evidence that VSTM maintenance occurred in two distinct representational formats which originated from different encoding periods. The first format derived from an early encoding period (250 to 770 ms) corresponded to higher-order visual representations. The second format originated from a late encoding period (1,000 to 1,980 ms) and contained abstract semantic representations. These representational formats were overall stable during maintenance, with no consistent transformation across time. Nevertheless, maintenance of both representational formats showed substantial arrhythmic fluctuations, i.e., waxing and waning in irregular intervals. The increases of the maintained representational formats were specific to the phases of hippocampal low-frequency activity. Our results demonstrate that human VSTM simultaneously maintains representations at different levels of processing, from higher-order visual information to abstract semantic representations, which are stably maintained via coupling to hippocampal low-frequency activity.

Indexed as

AdultElectroencephalographyEpilepsyFemaleHippocampusHumansMaleMemory, Short-TermNeural Networks, ComputerNontherapeutic Human ExperimentationVisual Perceptiondeep neural networkhippocampusintracranial EEGrepresentationvisual short-term memory

Identifiers

PMID33288707
PMCPMC7768765

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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.