Evidence map›Paper›PMID 23708878›Full record

ArticleJournal of computational neuroscience2013

Reliability of spike and burst firing in thalamocortical relay cells.

Fleur Zeldenrust, Pascal J P Chameau, Wytse J Wadman

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Article in Journal of computational neuroscience, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

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0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Neural Coding With Bursts-Current State and Future Perspectives.Frontiers in computational neuroscience · 2018
    Review
  5. Article
  6. Article
  7. Article
4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

3 authors.

Fleur ZeldenrustSwammerdam Institute for Life Sciences, Center for Neuroscience, University of Amsterdam, P.O. Box 94215, 1090, GE, Amsterdam, The Netherlands, fleurzeldenrust@gmail.com.
Pascal J P Chameau
Wytse J Wadman

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The reliability and precision of the timing of spikes in a spike train is an important aspect of neuronal coding. We investigated reliability in thalamocortical relay (TCR) cells in the acute slice and also in a Morris-Lecar model with several extensions. A frozen Gaussian noise current, superimposed on a DC current, was injected into the TCR cell soma. The neuron responded with spike trains that showed trial-to-trial variability, due to amongst others slow changes in its internal state and the experimental setup. The DC current allowed to bring the neuron in different states, characterized by a well defined membrane voltage (between -80 and -50 mV) and by a specific firing regime that on depolarization gradually shifted from a predominantly bursting regime to a tonic spiking regime. The filtered frozen white noise generated a spike pattern output with a broad spike interval distribution. The coincidence factor and the Hunter and Milton measure were used as reliability measures of the output spike train. In the experimental TCR cell as well as the Morris-Lecar model cell the reliability depends on the shape (steepness) of the current input versus spike frequency output curve. The model also allowed to study the contribution of three relevant ionic membrane currents to reliability: a T-type calcium current, a cation selective h-current and a calcium dependent potassium current in order to allow bursting, investigate the consequences of a more complex current-frequency relation and produce realistic firing rates. The reliability of the output of the TCR cell increases with depolarization. In hyperpolarized states bursts are more reliable than single spikes. The analytically derived relations were capable to predict several of the experimentally recorded spike features.

Indexed as

AlgorithmsAnimalsCalcium ChannelsCerebral CortexElectric StimulationElectrophysiological PhenomenaHyperpolarization-Activated Cyclic Nucleotide-Gated ChannelsMembrane PotentialsModels, NeurologicalModels, StatisticalPatch-Clamp TechniquesPotassium Channels, Calcium-ActivatedRatsRats, WistarReproducibility of ResultsThalamusCalcium ChannelsHyperpolarization-Activated Cyclic Nucleotide-Gated ChannelsPotassium Channels, Calcium-Activated

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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.