Evidence map›Paper›PMID 40175679›Full record

ArticleCommunications biology2025

Power-law adaptation in the presynaptic vesicle cycle.

Fabian A Mikulasch, Svilen V Georgiev, Lucas Rudelt, Silvio O Rizzoli, Viola Priesemann

Abstract read
In one paragraph

Article in Communications biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Direct energy consumption by inhibitory GABAFrontiers in neuroscience · 2026
    Article
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.

Fabian A MikulaschMax-Planck-Institute for Dynamics and Self-Organization, Göttingen, Germany.
Svilen V GeorgievUniversity Medical Center Göttingen, Institute for Neuro- and Sensory Physiology, Göttingen, Germany.
Lucas RudeltMax-Planck-Institute for Dynamics and Self-Organization, Göttingen, Germany.
Silvio O RizzoliUniversity Medical Center Göttingen, Institute for Neuro- and Sensory Physiology, Göttingen, Germany.ORCID http://orcid.org/0000-0002-1667-7839
Viola PriesemannMax-Planck-Institute for Dynamics and Self-Organization, Göttingen, Germany. viola.priesemann@ds.mpg.de.ORCID http://orcid.org/0000-0001-8905-5873

Funding

Deutsche Forschungsgemeinschaft (German Research Foundation) EXC 2067/1- 390729940Deutsche Forschungsgemeinschaft (German Research Foundation) SFB1286Deutsche Forschungsgemeinschaft (German Research Foundation) SFB1528
6 · The paper itself

Abstract

After synaptic transmission, fused synaptic vesicles are recycled, enabling the synapse to recover its capacity for renewed release. The recovery steps, which range from endocytosis to vesicle docking and priming, have been studied individually, but it is not clear what their impact on the overall dynamics of synaptic recycling is, and how they influence signal transmission. Here we model the dynamics of vesicle recycling and find that the multiple timescales of the recycling steps are reflected in synaptic recovery. This leads to multi-timescale synapse dynamics, which can be described by a simplified synaptic model with 'power-law' adaptation. Using cultured hippocampal neurons, we test this model experimentally, and show that the duration of synaptic exhaustion changes the effective synaptic recovery timescale, as predicted by the model. Finally, we show that this adaptation could implement a specific function in the hippocampus, namely enabling efficient communication between neurons through the temporal whitening of hippocampal spike trains.

Indexed as

Presynaptic TerminalsSynaptic TransmissionSynaptic VesiclesAnimalsCells, CulturedEndocytosisHippocampusModels, NeurologicalNeuronsRats

Identifiers

PMID40175679
PMCPMC11965563

What OpenQuestion holds

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LicenceCC BY
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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.