Skip to main content
SpringerLink
Log in
Book cover

International Conference on Artificial Neural Networks

ICANN 1997: Artificial Neural Networks — ICANN'97 pp 31–36Cite as

Cross-correlations in sparsely connected recurrent networks of spiking neurons

  • Part I: Coding and Learning in Biology
  • Conference paper
  • First Online:

  • 321 Accesses

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 1327))

Abstract

We study the dynamics of sparsely connected recurrent networks composed of excitatory and inhibitory integrate-and-fire (IF) neurons firing at low rates, and in particular cross-Correlations (CC) between spike times of pairs of neurons using both numerical simulations and a recent theory. CCs exhibit damped oscillations with a frequency which depends on synaptic time constants. Individual CCs are shown to depend weakly on synaptic connectivity. They depend more strongly on the firing rates of individual neurons.

Associated with CNRS, Paris 6 and Paris 7 universities.

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

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Abeles, M.,: Corticonics, Cambridge University Press, New York (1991)

    Google Scholar 

  2. Abeles, M., Bergman, H., Cat, I., Meilijson, I., Seidemann, E., Tishby, N., Vaadia, E.: Cortical activity flips among quasi-stationary states, Proc. Natl. Acad. Sci. USA 92 (1995) 8616

    Google Scholar 

  3. Amit, D.J.: Simulation in neurobiology — theory or experiment?, submitted. See http: //www.fiz.huji.ac.il/staff/acc/faculty/damita/papers.html.

    Google Scholar 

  4. Amit, D.J., Brunel, N.: Model of global spontaneous activity and local structured activity during delay periods in the cerebral cortex, Cerebral Cortex 7 (1997) 237–252

    Google Scholar 

  5. Amit, D.J., Brunel, N.: Dynamics of recurrent networks of spiking neurons before and following learning, to be published in Network. See http://www.lps.ens.fr/~brunel/publi.html.

    Google Scholar 

  6. Braitenberg, V., Schüz, A.: Anatomy of the cortex, Springer-Verlag, Berlin (1991)

    Google Scholar 

  7. Brunel, N., Hakim, V., in preparation.

    Google Scholar 

  8. Fuster, J.: Memory in the cerebral cortex, MIT press (1995)

    Google Scholar 

  9. Kreiter, A.K., Singer, W., Stimulus dependent synchronization of neuronal responses in the visual cortex of the awake macaque monkey, J. Neurosci., 16 (1996) 2381

    Google Scholar 

  10. Knight, B.W.: Dynamics of encoding in a population of neurons, J. Gen. Physiol., 59 (1972) 734

    Google Scholar 

  11. Mason, A., Nicoll, A., Stratford, K.: Synaptic transmission between individual pyramidal neurons of the rat visual cortex in vitro, J. Neurosci., 11 (1991) 72

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. LPS, Ecole Normale Supérieure, 24 rue Lhomond, 75251, Paris Cedex 05, France

    Nicolas Brunel

Authors
  1. Nicolas Brunel
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

Wulfram Gerstner Alain Germond Martin Hasler Jean-Daniel Nicoud

Rights and permissions

Reprints and permissions

Copyright information

© 1997 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Brunel, N. (1997). Cross-correlations in sparsely connected recurrent networks of spiking neurons. In: Gerstner, W., Germond, A., Hasler, M., Nicoud, JD. (eds) Artificial Neural Networks — ICANN'97. ICANN 1997. Lecture Notes in Computer Science, vol 1327. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0020128

Download citation

  • DOI: https://doi.org/10.1007/BFb0020128

  • Published:

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-63631-1

  • Online ISBN: 978-3-540-69620-9

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics

Search

Navigation