Biological Cybernetics

, 99:237 | Cite as

Special issue on quantitative neuron modeling

  • Renaud JolivetEmail author
  • Arnd Roth
  • Felix Schürmann
  • Wulfram Gerstner
  • Walter Senn


  1. Badel L, Lefort S, Petersen CCH, Gerstner W, Richardson MJE (2008) Extracting nonlinear integrate-and-fire models from experimental data using dynamic I–V curves. Biol Cybern 99. doi: 10.1007/s00422-008-0259-4
  2. Brunel N, van Rossum MCW (2007) Lapicque’s 1907 paper: from frogs to integrate-and-fire. Biol Cybern 97(5): 337–339CrossRefPubMedGoogle Scholar
  3. De Lange E, Hasler M (2008) Predicting single spikes and spike patterns with the Hindmarsh–Rose model. Biol Cybern 99. doi: 10.1007/s00422-008-0260-y
  4. Druckmann S, Berger TK, Hill S, Schürmann F, Markram H, Segev I (2008) Evaluating automated parameter constraining procedures of neuron models by experimental and surrogate data. Biol Cybern 99. doi: 10.1007/s00422-008-0269-2
  5. Giugliano M, La Camera G, Fusi S, Senn W (2008) The response of cortical neurons to in vivo-like input current: temporal and spatial input modulations. II. Time-varying responses network dynamics somato-dendritic interactions. Biol Cybern 99. doi: 10.1007/s00422-008-0270-9
  6. Gollisch T, Meister M (2008) Modeling convergent ON and OFF pathways in the early visual system. Biol Cybern 99. doi: 10.1007/s00422-008-0252-y
  7. Izhikevich EM, Edelman GM (2008) Large-scale model of mammalian thalamocortical systems. Proc Natl Acad Sci USA 105(9): 3593–3598CrossRefPubMedGoogle Scholar
  8. Jolivet R, Schürmann F, Berger TK, Naud R, Gerstner W, Roth A (2008) The quantitative single-neuron modeling competition. Biol Cybern 99. doi: 10.1007/s00422-008-0261-x
  9. Koepsell K, Sommer FT (2008) Information transmission in oscillatory neural activity. Biol Cybern 99. doi: 10.1007/s00422-008-0273-6
  10. La Camera G, Giugliano M, Senn W, Fusi S (2008) The response of cortical neurons to in vivo-like input current: theory and experiment. I. quasi-stationary spike trains. Biol Cybern 99. doi: 10.1007/s00422-008-0272-7
  11. Lansky P, Ditlevsen S (2008) A review of the methods for signal estimation in stochastic diffusion leaky integrate-and-fire neuronal models. Biol Cybern 99. doi: 10.1007/s00422-008-0237-x
  12. Lapicque L (1907) Recherches quantitatives sur l’excitation électrique des nerfs traitée comme une polarisation. J Physiol Pathol Gen 9: 620–635Google Scholar
  13. London M, Larkum ME, Häusser M (2008) Predicting the synaptic information efficacy in cortical layer 5 pyramidal cells using a minimal integrate-and-fire model. Biol Cybern 99. doi: 10.1007/s00422-008-0268-3
  14. Markram H (2006) The blue brain project. Nat Rev Neurosci 7(2): 153–160CrossRefPubMedGoogle Scholar
  15. Naud R, Marcille N, Clopath C, Gerstner W (2008) Firing patterns in the adaptive exponential integrate-and-fire model. Biol Cybern 99. doi: 10.1007/s00422-008-0264-7
  16. Pospischil M, Toledo-Rodriguez M, Monier C, Piwkowska Z, Bal T, Frégnac Y, Markram H, Destexhe A (2008) Minimal Hodgkin–Huxley type models for different classes of cortical and thalamic neurons. Biol Cybern 99. doi: 10.1007/s00422-008-0263-8
  17. Richardson MJE (2008) Spike-train spectra and network response functions for non-linear integrate-and-fire neurons. Biol Cybern 99. doi: 10.1007/s00422-008-0244-y
  18. Touboul J, Brette R (2008) Dynamics and bifurcations of the adaptive exponential integrate-and-fire model. Biol Cybern 99. doi: 10.1007/s00422-008-0267-4
  19. Van Geit W, De Schutter E, Achard P (2008) Automated neuron model optimization techniques: a review. Biol Cybern 99. doi: 10.1007/s00422-008-0257-6

Copyright information

© Springer-Verlag 2008

Authors and Affiliations

  • Renaud Jolivet
    • 1
    Email author
  • Arnd Roth
    • 2
  • Felix Schürmann
    • 3
  • Wulfram Gerstner
    • 3
  • Walter Senn
    • 4
  1. 1.Institute of Pharmacology and ToxicologyUniversity of ZurichZurichSwitzerland
  2. 2.Wolfson Institute for Biomedical ResearchUniversity College LondonLondonUK
  3. 3.Brain Mind InstituteEPFLLausanneSwitzerland
  4. 4.Department of PhysiologyUniversity of BernBernSwitzerland

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