Evidence map›Paper›PMID 23200193›Full record

ReviewNeural networks : the official journal of the International Neural Network Society2013

Modeling the generation of output by the cerebellar nuclei.

Volker Steuber, Dieter Jaeger

Open access · greenAbstract readReview
In one paragraph

Review in Neural networks : the official journal of the International Neural Network Society, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing 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

20 citing papers in PubMed, 33 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Rate versus synchrony codes for cerebellar control of motor behavior.bioRxiv : the preprint server for biology · 2023
    Article
  5. Review
  6. Review
  7. Article
  8. Differential Coding Strategies in Glutamatergic and GABAergic Neurons in the Medial Cerebellar Nucleus.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2020
    Article
  9. Article
  10. Article
  11. Review
  12. Article
  13. Article
  14. Article
  15. Review
  16. Article
  17. Article
  18. Review
  19. Cellular commitment in the developing cerebellum.Frontiers in cellular neuroscience · 2014
    Review
  20. 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

2 authors at 2 institutions in 2 countries.

Volker SteuberScience and Technology Research Institute, University of Hertfordshire, College Lane, Hatfield, AL10 9AB, UK. Electronic address: v.steuber@herts.ac.uk.
Dieter Jaeger
Emory University · USUniversity of Hertfordshire · GB

Funding

CRCNS: Cerebellar cortico-nuclear interactionsR01NS067201 · NINDS · EMORY UNIVERSITY · PI JAEGER, DIETER · 2009 to 2013
$1.1M
Optogenetic investigation of olivary inputs to the deep cerebellar nucleiR21NS074296 · NINDS · EMORY UNIVERSITY · PI JAEGER, DIETER · 2011 to 2012
$429k
Biotechnology and Biological Sciences Research Council BB/F005369/1Biotechnology and Biological Sciences Research Council F005490NINDS NIH HHS 1R21NS074296NINDS NIH HHS R01 NS067201NINDS NIH HHS R21 NS074296
6 · The paper itself

Abstract

Functional aspects of network integration in the cerebellar cortex have been studied experimentally and modeled in much detail ever since the early work by theoreticians such as Marr, Albus and Braitenberg more than 40 years ago. In contrast, much less is known about cerebellar processing at the output stage, namely in the cerebellar nuclei (CN). Here, input from Purkinje cells converges to control CN neuron spiking via GABAergic inhibition, before the output from the CN reaches cerebellar targets such as the brainstem and the motor thalamus. In this article we review modeling studies that address how the CN may integrate cerebellar cortical inputs, and what kind of signals may be transmitted. Specific hypotheses in the literature contrast rate coding and temporal coding of information in the spiking output from the CN. One popular hypothesis states that post-inhibitory rebound spiking may be an important mechanism by which Purkinje cell inhibition is turned into CN output spiking, but this hypothesis remains controversial. Rate coding clearly does take place, but in what way it may be augmented by temporal codes remains to be more clearly established. Several candidate mechanisms distinct from rebound spiking are discussed, such as the significance of spike time correlations between Purkinje cell pools to determine CN spike timing, irregularity of Purkinje cell spiking as a determinant of CN firing rate, and shared brief pauses between Purkinje cell pools that may trigger individual CN spikes precisely.

Indexed as

Action PotentialsModels, NeurologicalAnimalsCerebellar NucleiComputer SimulationNeural InhibitionNeuronsRatsCompartmental modelDynamic clampNeural codingPurkinje cellReboundSTD

Identifiers

PMID23200193
PMCPMC3596440
OpenAlexW2083215341

What OpenQuestion holds

Textmetadata
LicenceTDM
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.