論文

査読有り
2015年3月

Modeling memory consolidation during posttraining periods in cerebellovestibular learning

PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
  • Tadashi Yamazaki
  • ,
  • Soichi Nagao
  • ,
  • William Lennon
  • ,
  • Shigeru Tanaka

112
11
開始ページ
3541
終了ページ
3546
記述言語
英語
掲載種別
研究論文(学術雑誌)
DOI
10.1073/pnas.1413798112
出版者・発行元
NATL ACAD SCIENCES

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.

リンク情報
DOI
https://doi.org/10.1073/pnas.1413798112
Web of Science
https://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=JSTA_CEL&SrcApp=J_Gate_JST&DestLinkType=FullRecord&KeyUT=WOS:000351060000096&DestApp=WOS_CPL
URL
http://www.pnas.org/content/112/11/3541.short?rss%3D1
ID情報
  • DOI : 10.1073/pnas.1413798112
  • ISSN : 0027-8424
  • Web of Science ID : WOS:000351060000096

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