Evidence map›Paper›PMID 30067122›Full record

ArticleJournal of neurophysiology2018

Multiple components in direction learning in smooth pursuit eye movements of monkeys.

Nathan J Hall, Yan Yang, Stephen G Lisberger

Abstract read
In one paragraph

Article in Journal of neurophysiology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

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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

3 authors.

Nathan J HallDepartment of Neurobiology, Duke University School of Medicine , Durham, North Carolina.ORCID 0000-0003-3690-7395
Yan YangState Key Laboratory of Brain and Cognitive Science, Institute of Biophysics, Chinese Academy of Sciences , Beijing , China.
Stephen G LisbergerDepartment of Neurobiology, Duke University School of Medicine , Durham, North Carolina.ORCID 0000-0001-7859-4361

Funding

Neural Basis for Cerebellar Motor LearningR01NS092623 · NINDS · DUKE UNIVERSITY · PI LISBERGER, STEPHEN G · 2016 to 2020
$2.5M
Neural Circuit Basis for Cerebellar LearningF32NS103216 · NINDS · DUKE UNIVERSITY · PI HALL, NATHAN · 2017 to 2018
$116k
NINDS NIH HHS F32 NS103216NINDS NIH HHS R01 NS092623
6 · The paper itself

Abstract

We analyzed behavioral features of smooth pursuit eye movements to characterize the course of acquisition and expression of multiple neural components of motor learning. Monkeys tracked a target that began to move in an initial "pursuit" direction and suddenly, but predictably, changed direction after a fixed interval of 250 ms. As the trial is repeated, monkeys learn to make eye movements that predict the change in target direction. Quantitative analysis of the learned response revealed evidence for multiple, dynamic, parallel processes at work during learning. 1) The overall learning followed at least two trial courses: a fast component grew and saturated rapidly over tens of trials, and a slow component grew steadily over up to 1,000 trials. 2) The temporal specificity of the learned response within each trial was crude during the first 100 trials but then improved gradually over the remaining trials. 3) External influences on the gain of pursuit initiation modulate the expression but probably not the acquisition of learning. The gain of pursuit initiation and the expression of the learned response decreased in parallel, both gradually through a 1,000-trial learning block and immediately between learning trials with different gains in the initiation of pursuit. We conclude that at least two distinct neural mechanisms drive the acquisition of pursuit learning over 100 to 1,000 trials (3 to 30 min). Both mechanisms generate underlying memory traces that are modulated in relation to the gain of pursuit initiation before expression in the final motor output. NEW & NOTEWORTHY We show that cerebellum-dependent direction learning in smooth pursuit eye movements grows in at least two components over 1,100 behavioral learning repetitions. One component grows over tens of trials and the other over hundreds. Within trials, learned temporal specificity gradually improves over hundreds of trials. The expression of each learning component on a given trial can be modified by external factors that do not affect the underlying memory trace.

Indexed as

Pursuit, SmoothSpatial LearningAnimalsCerebellumMacaca mulattaMaleSpatial Memoryacquisition of motor learningcerebellumexpression of motor learningfloccular complexlearned timingsensory-motor adaptation

Identifiers

PMID30067122
PMCPMC6230775

What OpenQuestion holds

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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.