Evidence map›Paper›PMID 29230640›Full record

ArticleJournal of computational neuroscience2018

New class of reduced computationally efficient neuronal models for large-scale simulations of brain dynamics.

Maxim Komarov, Giri Krishnan, Sylvain Chauvette, Nikolai Rulkov, Igor Timofeev, Maxim Bazhenov

Abstract read
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In one paragraph

Article in Journal of computational neuroscience, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Large time step discrete-time modeling of sharp wave activity in hippocampal area CA3.Communications in nonlinear science & numerical simulation · 2019
    Article
  7. Article
  8. Review
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.

Maxim KomarovDepartment of Medicine, University of California San Diego, 9500 Gilman Dr, La Jolla, CA, 92093, USA.
Giri KrishnanDepartment of Medicine, University of California San Diego, 9500 Gilman Dr, La Jolla, CA, 92093, USA. giri.prashanth@gmail.com.
Sylvain ChauvetteCentre de recherche de l'Institut universitaire en santé mentale de Québec (CRIUSMQ), Local F-6500, 2601 de la Canardière, QC, Québec, G1J2G3, Canada.
Nikolai RulkovBioCircuits Institute, University of California, San Diego 9500 Gilman Drive, La Jolla, CA, 92093-0328, USA.
Igor TimofeevCentre de recherche de l'Institut universitaire en santé mentale de Québec (CRIUSMQ), Local F-6500, 2601 de la Canardière, QC, Québec, G1J2G3, Canada.
Maxim BazhenovDepartment of Medicine, University of California San Diego, 9500 Gilman Dr, La Jolla, CA, 92093, USA.

Funding

CIHR MOP-136967CIHR MOP-136969National Institutes of Health (US) MH099645
6 · The paper itself

Abstract

During slow-wave sleep, brain electrical activity is dominated by the slow (< 1 Hz) electroencephalogram (EEG) oscillations characterized by the periodic transitions between active (or Up) and silent (or Down) states in the membrane voltage of the cortical and thalamic neurons. Sleep slow oscillation is believed to play critical role in consolidation of recent memories. Past computational studies, based on the Hodgkin-Huxley type neuronal models, revealed possible intracellular and network mechanisms of the neuronal activity during sleep, however, they failed to explore the large-scale cortical network dynamics depending on collective behavior in the large populations of neurons. In this new study, we developed a novel class of reduced discrete time spiking neuron models for large-scale network simulations of wake and sleep dynamics. In addition to the spiking mechanism, the new model implemented nonlinearities capturing effects of the leak current, the Ca

Indexed as

Computer SimulationModels, NeurologicalNonlinear DynamicsAction PotentialsBrainBrain WavesElectroencephalographyHumansNeural PathwaysNeuronsSodium ChannelsTime FactorsSodium ChannelsLarge-scale simulationsSlow-wave sleep oscillationsUp and down states

Identifiers

What OpenQuestion holds

Textmetadata
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.