Skip to main content

Complex information processing in real neurones

  • Conference paper
Book cover Neurocomputing

Part of the book series: NATO ASI Series ((NATO ASI F,volume 68))

Abstract

Although networks of real and modelled neurones have much in common they are studied for very different reasons and in very different ways. Brains are historical entities handed over by the process of natural selection and shaped by their individual lives. They are given and we are well aware of their overall abilities to direct body function and movement and to provide sensation, mental activity and social interaction. Apart from how brains are put together during development the key question in neurobiology is — not what they do — but how they do it!

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

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. Bear, M.F. and Singer, W.: Modulation of visual cortical plasticity by acetylcholine and noradrenaline. Nature 320, 172–176 (1986)

    Article  Google Scholar 

  2. Getting, P.A.: Emerging principles governing the operation of neural networks. Ann. Rev. Neurosci. 12, 185–204 (1989)

    Article  Google Scholar 

  3. Hille, B.: Ionic Channels of Excitable Membranes. Sinauer Associates Inc. Publishers, Sunderland, Massachusetts (1984)

    Google Scholar 

  4. Hounsgaard, J. and Midtgaard, J.: Synaptic control of excitability in turtle cerebellar Purkinje cells. J. Physiol. 409, 157–170 (1989)

    Google Scholar 

  5. Hounsgaard, J. and Kiehn, O.: Serotonin induced bistability of turtle motoneurones caused by a nifedipine sensitive calcium plateau. J. Physiol. In press. (1989)

    Google Scholar 

  6. Hounsgaard, J., Hultborn, H., Jespersen, B. and Kiehn, O.: Bistability of a-motoneurones in the decerebrate cat and in the acute spinal cat after intravenous 5-hydroxytryptophan. J. Physiol. 405 345–367 (1988)

    Google Scholar 

  7. Jahnsen, H.: Responses of neurons in isolated preparations of the mammalian central nervous system. Progress in Neurobiology 27, 351–372 (1986)

    Article  Google Scholar 

  8. Kleinfeld, D. and Sompolinsky, H.: Associative neural network model for the generation of temporal patterns. Biophys. J. 54, 1039–1051 (1988)

    Article  Google Scholar 

  9. Kuhn, H.: Origin of life and physics: diversified microstructure — Inducement to form information-carrying and knowledge-accumulating systems. IBM J. Res. Develop. 32, 37–46 (1988)

    Article  Google Scholar 

  10. Landauer, R.: Dissipation and noise immunity in computation and communication. Nature 335, 779–784 (1988a)

    Article  Google Scholar 

  11. Landauer, R.: A simple measure of complexity. Nature 336, 306–307 1988b

    Article  Google Scholar 

  12. Levitan, I.B.: Modulation of ion channels in neurons and other cells. Ann. Rev. Neurosci. 11, 119–136 1988

    Article  Google Scholar 

  13. Midtgaard, J.: Electroresponsiveness of interneurons in the turtle cerebellar cortex in vitro. Euro. J. Neurosci., Suppl. ENA Meeting (1988)

    Google Scholar 

  14. Midtgaard, J. and Hounsgaard, J.: Nerve cells as source of time scale and processing density in brain function. Int. J. Neur. Syst. 1, in press (1989)

    Google Scholar 

  15. Mintz, I.: Analyse in vitro des propriétés membranaires actives des motoneurones de tortue et de leur contribution aux oscillation induites par l’acide N-méthyl-D-aspartique et les agonistes muscariniques. Thèse de Doctorat de l’Université Paris 6 (thesis) (1987)

    Google Scholar 

  16. Selverston, A.I. and Moulins, M.: Oscillatory neural networks. Ann. Rev. Physiol. 47, 29–48 (1985)

    Article  Google Scholar 

  17. Stevens, C.F.: Strengthening the synapses. Nature 338, 460–461 (1989)

    Article  Google Scholar 

  18. TINS. Learning and memory. 11, No. 4. P.26 (1988)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 1990 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Hounsgaard, J., Midtgaard, J. (1990). Complex information processing in real neurones. In: Soulié, F.F., Hérault, J. (eds) Neurocomputing. NATO ASI Series, vol 68. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-76153-9_44

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-76153-9_44

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-76155-3

  • Online ISBN: 978-3-642-76153-9

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics