Evidence map›Paper›PMID 23745105›Full record

ArticleFrontiers in neural circuits2013

Adaptive enhancement of learning protocol in hippocampal cultured networks grown on multielectrode arrays.

Alexey Pimashkin, Arseniy Gladkov, Irina Mukhina, Victor Kazantsev

Open access · goldAbstract read
In one paragraph

Article in Frontiers in neural circuits, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
1.8field-weighted citation impact, top 16% 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

18 citing papers in PubMed, 41 citations in OpenAlex.

  1. Harnessing Intelligence from Brain Cells In Vitro.The Neuroscientist : a review journal bringing neurobiology, neurology and psychiatry · 2025
    Review
  2. Organoid intelligence for developmental neurotoxicity testing.Frontiers in cellular neuroscience · 2024
    Article
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  18. Closed-loop neuroscience and neuroengineering.Frontiers in neural circuits · 2014
    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

4 authors at 3 institutions in 1 country.

Alexey PimashkinDepartment of Neurodynamics and Neurobiology, Lobachevsky State University of Nizhny Novgorod Nizhny Novgorod, Russia.
Arseniy Gladkov
Irina Mukhina
Victor Kazantsev
Privolzhsky Research Medical University · RUInstitute of Applied Physics · RUN. I. Lobachevsky State University of Nizhny Novgorod · RU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Learning in neuronal networks can be investigated using dissociated cultures on multielectrode arrays supplied with appropriate closed-loop stimulation. It was shown in previous studies that weakly respondent neurons on the electrodes can be trained to increase their evoked spiking rate within a predefined time window after the stimulus. Such neurons can be associated with weak synaptic connections in nearby culture network. The stimulation leads to the increase in the connectivity and in the response. However, it was not possible to perform the learning protocol for the neurons on electrodes with relatively strong synaptic inputs and responding at higher rates. We proposed an adaptive closed-loop stimulation protocol capable to achieve learning even for the highly respondent electrodes. It means that the culture network can reorganize appropriately its synaptic connectivity to generate a desired response. We introduced an adaptive reinforcement condition accounting for the response variability in control stimulation. It significantly enhanced the learning protocol to a large number of responding electrodes independently on its base response level. We also found that learning effect preserved after 4-6 h after training.

Indexed as

Action PotentialsAdaptation, PhysiologicalAnimalsAnimals, NewbornCells, CulturedElectrodes, ImplantedHippocampusLearningMiceMice, Inbred C57BLNerve Netclosed-loophippocampal cultureslearning in neural networkslearning in vitromultielectrode arrays

Identifiers

PMID23745105
PMCPMC3662887
OpenAlexW2170226075

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.