Skip to main content

Modeling Post-training Memory Transfer in Cerebellar Motor Learning

  • Conference paper
Neural Information Processing (ICONIP 2012)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 7665))

Included in the following conference series:

Abstract

The cerebellum has two distinct memory sites. A single session of behavioral training forms short-term memory in the cerebellar cortex, and by repeating the training, long-term memory is formed in the cerebellar or vestibular nuclei, as if the memory is transferred from the cortex to the nuclei. We propose a simple network model of the cerebellum for the formation and transfer of motor memory. We assume a Hebbian rule with a postsynaptic gating mechanism for synaptic plasticity in the nuclei. We carry out computer simulation of gain adaptation of vestibulo-ocular reflex (VOR) and demonstrate robust memory transfer: the synaptic weight in the nuclei does not diverge to infinity. We suggest that memory transfer occurs mainly after training, not during training, and that spontaneous activity of Purkinje cells after training is necessary for memory transfer.

This study was supported by KAKENHI (20700301) and an internal startup fund of the University of Electro-Communications.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Melvill, J.G.: Motor learning in vestibulo-ocular control. In: Kandel, E.R., Schwartz, J.H., Jessell, T.M. (eds.) Principles of Neural Science, pp. 824–828. McGraw-Hill (2000)

    Google Scholar 

  2. DufosséIto, M., Jastreboff, P.J.M., Miyashita, Y.: A neuronal correlate in rabbit’s cerebellum to adaptive modification of the vestibulo-ocular reflex. Brain Res. 150, 611–616 (1978)

    Article  Google Scholar 

  3. Miles, F.A.: Lisberger SG Plasticity in vestibulo-ocular reflex: a new hypothesis. Ann. Rev. Neurosci. 4, 273–299 (1981)

    Article  Google Scholar 

  4. Ito, M.: Cerebellar control of the vestibulo-ocular reflex-Around the flocculus hypothesis. Ann. Rev. Neurosci. 5, 275–297 (1982)

    Article  Google Scholar 

  5. Nagao, S., Kitazawa, H.: Effects of reversible shutdown of the monkey flocculus on the retention of adaptation of the horizontal vestibulo-ocular reflex. Neuroscience 118, 563–570 (2003)

    Article  Google Scholar 

  6. Kassardjian, C.D., Tan, Y.F., Chung, J.Y., Heskin, R., Peterson, M.J., Broussard, D.M.: The site of a motor memory shifts with consolidation. J. Neurosci. 25, 7979–7985 (2005)

    Article  Google Scholar 

  7. Shutoh, F., Ohki, M., Kitazawa, H., Itohara, S., Nagao, S.: Memory trace of motor learning shifts transsynaptically from cerebellar cortex to nuclei for consolidation. Neurosci. 139, 767–777 (2006)

    Article  Google Scholar 

  8. Anzai, M., Kitazawa, H., Nagao, S.: Effects of reversible pharmacological shutdown of cerebellar flocculus on the memory of long-term horizontal vestibulo-ocular reflex adaptation in monkeys. Neurosci. Res. 68, 191–198 (2010)

    Article  Google Scholar 

  9. Attwell, P.J.E., Cook, S.F., Yeo, C.H.: Cerebellar Function in Consolidation of a Motor Memory. Neuron 34, 1011–1020 (2002)

    Article  Google Scholar 

  10. Okamoto, T., Endo, S., Shirao, T., Nagao, S.: Role of cerebellar cortical protein synthesis in transfer of memory trace of cerebellum-dependent motor learning. J. Neurosci. 31, 8958–8966 (2011)

    Article  Google Scholar 

  11. Okamoto, T., Shirao, T., Shutoh, F., Suzuki, T., Nagao, S.: Post-training cerebellar cortical activity plays an important role for consolidation of memory of cerebellum-dependent motor learning. Neurosci. Lett. 504, 53–56 (2011)

    Article  Google Scholar 

  12. Ito, M.: Long-term depression. Ann. Rev. Neurosci. 12, 85–102 (1989)

    Article  Google Scholar 

  13. Gerstner, W., Kistler, W.: Spiking Neuron Models. Cambridge University Press (2002)

    Google Scholar 

  14. Medina, J.F., Mauk, M.D.: Simulations of cerebellar motor learning: Computational analysis of plasticity at the mossy fiber to deep cerebellar nucleus. J. Neurosci. 19, 7140–7151 (1999)

    Google Scholar 

  15. Masuda, N., Amari, S.: A computational study of synaptic mechanisms of partial memory transfer in cerebellar vestibulo-ocular-reflex learning. J. Comput. Neurosci. 24, 137–156 (2008)

    Article  MathSciNet  Google Scholar 

  16. Ezure, K., Schor, R.H., Yoshida, K.: The response of horizontal semicircular canal afferents to sinusoidal rotation in the cat. Exp. Brain Res. 33, 27–39 (1978)

    Article  Google Scholar 

  17. Linden, D.J.: A protein synthesis-dependent late phase of cerebellar long-term depression. Neuron. 17, 483–490 (1996)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2012 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Yamazaki, T., Nagao, S. (2012). Modeling Post-training Memory Transfer in Cerebellar Motor Learning. In: Huang, T., Zeng, Z., Li, C., Leung, C.S. (eds) Neural Information Processing. ICONIP 2012. Lecture Notes in Computer Science, vol 7665. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-34487-9_51

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-34487-9_51

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-34486-2

  • Online ISBN: 978-3-642-34487-9

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics