Evidence map›Paper›PMID 32730255›Full record

ArticlePLoS computational biology2020

Electrical coupling controls dimensionality and chaotic firing of inferior olive neurons.

Huu Hoang, Eric J Lang, Yoshito Hirata, Isao T Tokuda, Kazuyuki Aihara, Keisuke Toyama, Mitsuo Kawato, Nicolas Schweighofer

Open access · goldAbstract read
In one paragraph

Article in PLoS computational biology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
1.7field-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

6 citing papers in PubMed, 1 synthesis or guideline pooled it, 20 citations in OpenAlex.

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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

8 authors at 5 institutions in 2 countries.

Huu HoangComputational Neuroscience Laboratories, ATR Institute International, Kyoto, Japan.ORCID 0000-0003-1463-8323
Eric J LangDepartment of Neuroscience and Physiology, New York University School of Medicine, New York, New York, United States of America.ORCID 0000-0002-8524-9854
Yoshito HirataInstitute of Industrial Science, The University of Tokyo, Tokyo, Japan.ORCID 0000-0002-9245-2543
Isao T TokudaDepartment of Mechanical Engineering, Ritsumeikan University, Shiga, Japan.ORCID 0000-0001-6212-0022
Kazuyuki AiharaInstitute of Industrial Science, The University of Tokyo, Tokyo, Japan.ORCID 0000-0002-4602-9816
Keisuke ToyamaComputational Neuroscience Laboratories, ATR Institute International, Kyoto, Japan.
Mitsuo KawatoComputational Neuroscience Laboratories, ATR Institute International, Kyoto, Japan.
Nicolas SchweighoferBiokinesiology and Physical Therapy, University of Southern California, Los Angeles, California, United States of America.ORCID 0000-0003-3362-6088
Advanced Telecommunications Research Institute International · JPThe University of Tokyo · JPNew York University · USRitsumeikan University · JPUniversity of Southern California · US

Funding

Optimizing sensori-motor training post-strokeR56NS100528 · NINDS · UNIVERSITY OF SOUTHERN CALIFORNIA · PI SCHWEIGHOFER, NICOLAS · 2017 to 2017
$483k
NINDS NIH HHS R56 NS100528
6 · The paper itself

Abstract

We previously proposed, on theoretical grounds, that the cerebellum must regulate the dimensionality of its neuronal activity during motor learning and control to cope with the low firing frequency of inferior olive neurons, which form one of two major inputs to the cerebellar cortex. Such dimensionality regulation is possible via modulation of electrical coupling through the gap junctions between inferior olive neurons by inhibitory GABAergic synapses. In addition, we previously showed in simulations that intermediate coupling strengths induce chaotic firing of inferior olive neurons and increase their information carrying capacity. However, there is no in vivo experimental data supporting these two theoretical predictions. Here, we computed the levels of synchrony, dimensionality, and chaos of the inferior olive code by analyzing in vivo recordings of Purkinje cell complex spike activity in three different coupling conditions: carbenoxolone (gap junctions blocker), control, and picrotoxin (GABA-A receptor antagonist). To examine the effect of electrical coupling on dimensionality and chaotic dynamics, we first determined the physiological range of effective coupling strengths between inferior olive neurons in the three conditions using a combination of a biophysical network model of the inferior olive and a novel Bayesian model averaging approach. We found that effective coupling co-varied with synchrony and was inversely related to the dimensionality of inferior olive firing dynamics, as measured via a principal component analysis of the spike trains in each condition. Furthermore, for both the model and the data, we found an inverted U-shaped relationship between coupling strengths and complexity entropy, a measure of chaos for spiking neural data. These results are consistent with our hypothesis according to which electrical coupling regulates the dimensionality and the complexity in the inferior olive neurons in order to optimize both motor learning and control of high dimensional motor systems by the cerebellum.

Indexed as

Action PotentialsAnimalsBayes TheoremCerebellumComputer SimulationFemalegamma-Aminobutyric AcidGap JunctionsModels, NeurologicalModels, StatisticalNeuronsNonlinear DynamicsOlivary NucleusPicrotoxinProbabilityPurkinje Cellsgamma-Aminobutyric AcidPicrotoxin

Identifiers

PMID32730255
PMCPMC7419012
OpenAlexW3046561743

What OpenQuestion holds

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LicenceCC BY
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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.