Evidence map›Paper›PMID 27541958›Full record

ArticlePLoS computational biology2016

Inverse Stochastic Resonance in Cerebellar Purkinje Cells.

Anatoly Buchin, Sarah Rieubland, Michael Häusser, Boris S Gutkin, Arnd Roth

Abstract read
In one paragraph

Article in PLoS computational biology, 2016. 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
–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

18 citing papers in PubMed.

  1. Cerebellar microcircuits enable robust evidence-based decisions through cortico-cerebellar coupling.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  2. Article
  3. Purkinje cell models: past, present and future.Frontiers in computational neuroscience · 2024
    Review
  4. [The inverse stochastic resonance in a small-world neuronal network under electromagnetic stimulation].Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi · 2023
    Article
  5. Article
  6. Article
  7. Article
  8. Dynamics and Information Import in Recurrent Neural Networks.Frontiers in computational neuroscience · 2022
    Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. On the complex dynamics of savanna landscapes.Proceedings of the National Academy of Sciences of the United States of America · 2018
    Article
  15. Article
  16. Movement Rate Is Encoded and Influenced by Widespread, Coherent Activity of Cerebellar Molecular Layer Interneurons.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2017
    Article
  17. Article
  18. 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

5 authors.

Anatoly BuchinGroup for Neural Theory, Laboratoire des Neurosciences Cognitives, École Normale Supérieure, Paris, France.ORCID 0000-0001-6284-9913
Sarah RieublandWolfson Institute for Biomedical Research and Department of Neuroscience, Physiology and Pharmacology, University College London, London, United Kingdom.ORCID 0000-0003-0310-6647
Michael HäusserWolfson Institute for Biomedical Research and Department of Neuroscience, Physiology and Pharmacology, University College London, London, United Kingdom.
Boris S GutkinGroup for Neural Theory, Laboratoire des Neurosciences Cognitives, École Normale Supérieure, Paris, France.
Arnd RothWolfson Institute for Biomedical Research and Department of Neuroscience, Physiology and Pharmacology, University College London, London, United Kingdom.

Funding

Wellcome Trust 201225/Z/16/Z
6 · The paper itself

Abstract

Purkinje neurons play an important role in cerebellar computation since their axons are the only projection from the cerebellar cortex to deeper cerebellar structures. They have complex internal dynamics, which allow them to fire spontaneously, display bistability, and also to be involved in network phenomena such as high frequency oscillations and travelling waves. Purkinje cells exhibit type II excitability, which can be revealed by a discontinuity in their f-I curves. We show that this excitability mechanism allows Purkinje cells to be efficiently inhibited by noise of a particular variance, a phenomenon known as inverse stochastic resonance (ISR). While ISR has been described in theoretical models of single neurons, here we provide the first experimental evidence for this effect. We find that an adaptive exponential integrate-and-fire model fitted to the basic Purkinje cell characteristics using a modified dynamic IV method displays ISR and bistability between the resting state and a repetitive activity limit cycle. ISR allows the Purkinje cell to operate in different functional regimes: the all-or-none toggle or the linear filter mode, depending on the variance of the synaptic input. We propose that synaptic noise allows Purkinje cells to quickly switch between these functional regimes. Using mutual information analysis, we demonstrate that ISR can lead to a locally optimal information transfer between the input and output spike train of the Purkinje cell. These results provide the first experimental evidence for ISR and suggest a functional role for ISR in cerebellar information processing.

Indexed as

Models, NeurologicalAction PotentialsAnimalsComputational BiologyPurkinje CellsRatsRats, Sprague-DawleyStochastic Processes

Identifiers

PMID27541958
PMCPMC4991839

What OpenQuestion holds

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LicenceCC BY
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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.