Evidence map›Paper›PMID 34874938›Full record

ArticlePLoS computational biology2021

Hebbian plasticity in parallel synaptic pathways: A circuit mechanism for systems memory consolidation.

Michiel W H Remme, Urs Bergmann, Denis Alevi, Susanne Schreiber, Henning Sprekeler, Richard Kempter

Open access · goldAbstract read
In one paragraph

Article in PLoS computational biology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.7field-weighted citation impact, top 17% of its field
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

7 citing papers in PubMed, 20 citations in OpenAlex.

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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

6 authors at 3 institutions in 1 country.

Michiel W H RemmeDepartment of Biology, Institute for Theoretical Biology, Humboldt-Universität zu Berlin, Berlin, Germany.ORCID 0000-0003-0400-6074
Urs BergmannDepartment of Biology, Institute for Theoretical Biology, Humboldt-Universität zu Berlin, Berlin, Germany.ORCID 0000-0001-7400-2680
Denis AleviDepartment for Electrical Engineering and Computer Science, Technische Universität Berlin, Berlin, Germany.ORCID 0000-0001-8514-7199
Susanne SchreiberDepartment of Biology, Institute for Theoretical Biology, Humboldt-Universität zu Berlin, Berlin, Germany.ORCID 0000-0003-3913-5650
Henning SprekelerDepartment for Electrical Engineering and Computer Science, Technische Universität Berlin, Berlin, Germany.ORCID 0000-0003-0690-3553
Richard KempterDepartment of Biology, Institute for Theoretical Biology, Humboldt-Universität zu Berlin, Berlin, Germany.ORCID 0000-0002-5344-2983
Humboldt-Universität zu Berlin · DEBernstein Center for Computational Neuroscience Berlin · DEExcellence Cluster Universe · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Systems memory consolidation involves the transfer of memories across brain regions and the transformation of memory content. For example, declarative memories that transiently depend on the hippocampal formation are transformed into long-term memory traces in neocortical networks, and procedural memories are transformed within cortico-striatal networks. These consolidation processes are thought to rely on replay and repetition of recently acquired memories, but the cellular and network mechanisms that mediate the changes of memories are poorly understood. Here, we suggest that systems memory consolidation could arise from Hebbian plasticity in networks with parallel synaptic pathways-two ubiquitous features of neural circuits in the brain. We explore this hypothesis in the context of hippocampus-dependent memories. Using computational models and mathematical analyses, we illustrate how memories are transferred across circuits and discuss why their representations could change. The analyses suggest that Hebbian plasticity mediates consolidation by transferring a linear approximation of a previously acquired memory into a parallel pathway. Our modelling results are further in quantitative agreement with lesion studies in rodents. Moreover, a hierarchical iteration of the mechanism yields power-law forgetting-as observed in psychophysical studies in humans. The predicted circuit mechanism thus bridges spatial scales from single cells to cortical areas and time scales from milliseconds to years.

Indexed as

Models, NeurologicalCA1 Region, HippocampalComputational BiologyHumansLearningMemory ConsolidationNeuronal Plasticity

Identifiers

PMID34874938
PMCPMC8683039
OpenAlexW4225757418

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.