Evidence map›Paper›PMID 25737547›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2015

Modeling memory consolidation during posttraining periods in cerebellovestibular learning.

Tadashi Yamazaki, Soichi Nagao, William Lennon, Shigeru Tanaka

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed, 1 pooled it
–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

30 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  7. Connectivity concepts in neuronal network modeling.PLoS computational biology · 2022
    Review
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  13. Intrinsic Plasticity of Cerebellar Purkinje Cells Contributes to Motor Memory Consolidation.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2020
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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

4 authors.

Tadashi YamazakiGraduate School of Informatics and Engineering, and pnas14@neuralgorithm.org.
Soichi NagaoBrain Science Promotion Division, RIKEN Brain Science Institute, Wako, Saitama 351-0198, Japan; and.
William LennonDepartment of Electrical and Computer Engineering, University of California, San Diego, La Jolla, CA 92093.
Shigeru TanakaBrain Science Inspired Life Support Research Center, The University of Electro-Communications, Chofu, Tokyo 182-8585, Japan;

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Long-term depression (LTD) at parallel fiber-Purkinje cell (PF-PC) synapses is thought to underlie memory formation in cerebellar motor learning. Recent experimental results, however, suggest that multiple plasticity mechanisms in the cerebellar cortex and cerebellar/vestibular nuclei participate in memory formation. To examine this possibility, we formulated a simple model of the cerebellum with a minimal number of components based on its known anatomy and physiology, implementing both LTD and long-term potentiation (LTP) at PF-PC synapses and mossy fiber-vestibular nuclear neuron (MF-VN) synapses. With this model, we conducted a simulation study of the gain adaptation of optokinetic response (OKR) eye movement. Our model reproduced several important aspects of previously reported experimental results in wild-type and cerebellum-related gene-manipulated mice. First, each 1-h training led to the formation of short-term memory of learned OKR gain at PF-PC synapses, which diminished throughout the day. Second, daily repetition of the training gradually formed long-term memory that was maintained for days at MF-VN synapses. We reproduced such memory formation under various learning conditions. Third, long-term memory formation occurred after training but not during training, indicating that the memory consolidation occurred during posttraining periods. Fourth, spaced training outperformed massed training in long-term memory formation. Finally, we reproduced OKR gain changes consistent with the changes in the vestibuloocular reflex (VOR) previously reported in some gene-manipulated mice.

Indexed as

Models, NeurologicalAdaptation, PhysiologicalAnimalsCerebellumComputer SimulationMemoryMice, TransgenicNeuronal PlasticityPurkinje CellsVestibular NucleicerebellumMarr–Albus–Ito theorymemory consolidationplasticityposttraining period

Identifiers

PMID25737547
PMCPMC4371920

What OpenQuestion holds

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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.