Skip to main content

Biological Evidence for Synapse Modification, Relevant for Neural Network Modelling

  • Chapter
Book cover Plausible Neural Networks for Biological Modelling

Part of the book series: Mathematical Modelling: Theory and Applications ((MMTA,volume 13))

  • 374 Accesses

Abstract

Evidence from experiments in the literature is presented for the mechanisms which contribute to the modifiability of synapses under the influences of local conditions in a neuronal net. However, there is always the complication that experiments in living beings or in cultured neural tissue allow interference only at a macroscopic scale. Therefore the experimental conditions in the referenced literature are described sufficiently carefully that the conclusions drawn from them can be appreciated well enough. After a brief survey of which synaptic properties are in principle variable, long—term potentiation (LTP) is described first, in a historical context. The role of nitric oxide, NO, is then demonstrated along the experiments of Rose et al. on food discrimination learning in chicks. Finally, the role of electrical activity is shown according to the famous experiments in Nelson's group on cell cultures of the spinal cord of mouse fetuses. In all cases the NMDA type of glutamate receptor plays an essential role.

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 84.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 109.99
Price excludes VAT (USA)
  • Durable hardcover 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

  • Bliss, T.V.P. and Lømo, T. (1973) Long—lasting potentiation of synaptic transmission in the dentate area of the anaesthetized rabbit following stimulation of the perforant path. J. Physiol. (London) 232, 331–356.

    Google Scholar 

  • Gustafsson, B. and Wigström, H. (1988) Physiological mechanisms underlying long—term potentiation. Trends Neurosci. 11, 156–162.

    Article  Google Scholar 

  • Hebb, D.O. (1949) The organization of behaviour. Wiley, New York.

    Google Scholar 

  • Kandel, E.R., Schwartz, J.H. and Jessell, T.M. (1991) Principles of Neuroscience. Elsevier, New York, etc.

    Google Scholar 

  • Malenka, R.C., Kauer, J.A., Perkel, DJ., Mauk, M.D., Kelly, P.T., Nicoll, R.A. and Waxham, M.N. (1989) An essential role for postsynaptic calmodulin and protein kinase activity in long—term potentiation. Nature 340, 554–557.

    Article  Google Scholar 

  • Montague, P.R. and Sejnowski, TJ. (1994) The predictive brain: temporal coincidence and temporal order in synaptic learning mechanisms. Learning and Memory 1, 1–33.

    Google Scholar 

  • Nelson, P.G., Yu, C, Douglas Fields, R. and Neale, E.A. (1989) Synaptic connections in vitro: Modulation of number and efficacy by electrical activity. Science 244, 585–587.

    Article  Google Scholar 

  • Nelson, P.G., Fields, R.D., Yu, C. and Neale, E.A. (1990) Mechanisms involved in activity—dependent synapse formation in mammalian central nervous system cell cultures. J. Neurobiol. 21, 138–156.

    Article  Google Scholar 

  • Oja, E., (1982) A simplified neuron model as a principal component analyzer. J. math. Biol. 15, 267–273.

    Article  MathSciNet  MATH  Google Scholar 

  • Rose, S.P.R. (1991) How chicks make memories: the cellular cascade from c— fos to dendritic remodelling. Trends Neurosci. 14, 390–397.

    Article  Google Scholar 

  • Rose, S.P.R. (1993) Synaptic plasticity, learning, and memory, in: Baudry, M., Thompson, R.F. and Davis, J.L. (Eds.). Synaptic plasticity, MIT Press, Cambridge, Ma., pp.209–229.

    Google Scholar 

  • Tanzi, E. (1893) I fatti e le induzioni nell’odierna istologia del sistema nervoso. Riv. sperim. freniatria medic. leg. 19, 419–472.

    Google Scholar 

Further Reading

  • Baudry, M., Thompson, R.F. and Davis, J.L. (Eds.) (1993) Synaptic Plasticity: Molecular, Cellular, and Functionmal Aspects, MIT Press, Cambridge MA.

    Google Scholar 

  • Changeux, J.P. (1983) L’Homme Neuronal, Fayard, Paris.

    Google Scholar 

  • Edelman, G.M. (1987) Neural Darwinism; the Theory of Neural Group Selection, Basic Books, New York.

    Google Scholar 

  • Purves, D. (1988) Body and Brain; a Trophic Theory of Neural Connections, Harvard Univ. Press, Cambridge, Ma.

    Google Scholar 

  • Hertz, J., Krogh, A. and Palmer, R.G. (1991) Introduction to the Theory of Neural Computation, Addison-Wesley, Redwood City, Ca, etc.

    Google Scholar 

  • Hall Z.V. (1992) An Introduction to Molecular Neurobiology, Sinauer Associates, Sunderland, Ma. (In particular chapter 11, Molecular control of neural development by D.J. Anderson.)

    Google Scholar 

  • Zelená, J. (1994) Nerves and Mechanoreceptors; the Role of Innervation in the Development and Maintenance of Mammalian Mechanoreceptors, Chapman and Hall, London, etc. (Of particular relevance for motor control.)

    Google Scholar 

  • Murphey, R.K. and Davis, G.W. (Eds.) (1994) Retrograde Signalling at the Synapse, Special Issue of the Journal of Neurobiology, Vol. 25, No. 6.

    Google Scholar 

  • Grossberg, S., Maass, W. and Markram, H. (Eds.) (2001) Spiking Neurons in Neuroscience and Technology, 2001 Special Issue of the journal Neural Networks.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2001 Springer Science+Business Media Dordrecht

About this chapter

Cite this chapter

Vos, J.E. (2001). Biological Evidence for Synapse Modification, Relevant for Neural Network Modelling. In: Mastebroek, H.A.K., Vos, J.E. (eds) Plausible Neural Networks for Biological Modelling. Mathematical Modelling: Theory and Applications, vol 13. Springer, Dordrecht. https://doi.org/10.1007/978-94-010-0674-3_1

Download citation

  • DOI: https://doi.org/10.1007/978-94-010-0674-3_1

  • Publisher Name: Springer, Dordrecht

  • Print ISBN: 978-94-010-3864-5

  • Online ISBN: 978-94-010-0674-3

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics