Evidence map›Paper›PMID 24734000›Full record

ArticleFrontiers in cellular neuroscience2014

Firing clamp: a novel method for single-trial estimation of excitatory and inhibitory synaptic neuronal conductances.

Anton V Chizhov, Evgenya Malinina, Michael Druzin, Lyle J Graham, Staffan Johansson

Erratum issuedAbstract read
In one paragraph

Article in Frontiers in cellular neuroscience, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Observing hidden neuronal states in experiments.PLoS computational biology · 2025
    Article
  3. Article
  4. Article
4 · The record

Corrections and comments

  • Erratum issued
5 · Who and what money

Authors and funding

5 authors.

Anton V ChizhovComputational Physics Laboratory, Division of Plasma Physics, Atomic Physics and Astrophysics, A.F. Ioffe Physical-Technical Institute of the Russian Academy of Sciences St. Petersburg, Russia.
Evgenya MalininaSection for Physiology, Department of Integrative Medical Biology, Umea University Umea, Sweden.
Michael DruzinSection for Physiology, Department of Integrative Medical Biology, Umea University Umea, Sweden ; Department of Neurodynamics and Neurobiology, Lobachevsky State University of Nizhny Novgorod Nizhny Novgorod, Russia.
Lyle J GrahamNeurophysiology and New Microscopies Laboratory, INSERM U603 - CNRS UMR 8154, Université Paris Descartes Paris, France.
Staffan JohanssonSection for Physiology, Department of Integrative Medical Biology, Umea University Umea, Sweden.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Understanding non-stationary neuronal activity as seen in vivo requires estimation of both excitatory and inhibitory synaptic conductances from a single trial of recording. For this purpose, we propose a new intracellular recording method, called "firing clamp." Synaptic conductances are estimated from the characteristics of artificially evoked probe spikes, namely the spike amplitude and the mean subthreshold potential, which are sensitive to both excitatory and inhibitory synaptic input signals. The probe spikes, timed at a fixed rate, are evoked in the dynamic-clamp mode by injected meander-like current steps, with the step duration depending on neuronal membrane voltage. We test the method with perforated-patch recordings from isolated cells stimulated by external application or synaptic release of transmitter, and validate the method with simulations of a biophysically-detailed neuron model. The results are compared with the conductance estimates based on conventional current-clamp recordings.

Indexed as

dynamic clampfiring-clampsynaptic conductance estimation

Identifiers

PMID24734000
PMCPMC3973923

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Registered trials

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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.