University of Hertfordshire

Dr Volker Steuber

Volker Steuber

Dr Volker Steuber

Postal address:
University of Hertfordshire, Hatfield, Hertfordshire
United Kingdom

Publications

  1. 2008
  2. Receptor response and soma leakiness in a simulated spiking neural controller for a robot

    Bowes, D., Adams, R. G., Canamero, L., Steuber, V. & Davey, N. 2008 Procs of Artificial Neural Networks and Intelligent Information Processing Workshop (ANNIP 2008). INSTICC (Inst. Syst. Technologies Information Control and Communication), Vol. 2008, p. 100-106

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  3. Using neuroConstruct to develop and modify biologically detailed 3D neuronal network models in health and disease

    Gleeson, P., Steuber, V. & Silver, R. A. 2008 Computational Neuroscience in Epilepsy. Soltesz, I. & Staley, K. (eds.). Academic Press, p. 48-70

    Research output: Chapter in Book/Report/Conference proceedingChapter

  4. 2007
  5. Cerebellar LTD and pattern recognition by Purkinje cells

    Steuber, V., Mittmann, W., Hoebeek, F. E., Silver, R. A., De Zeeuw, C. I., Hausser, M. & De Schutter, E. 2007 In : Neuron. 54, p. 121-136

    Research output: Contribution to journalArticle

  6. High capacity associative memory with bipolar and binary, biased patterns

    Chen, W., Adams, R. G., Calcraft, L., Davey, N. & Steuber, V. 2007 In : Proceedings of UKCI, London. 2007, 5 p.

    Research output: Contribution to journalArticle

  7. Using NeuroML and neuroConstruct to build neuronal network models for multiple simulators

    Gleeson, P., Crook, S., Steuber, V. & Silver, R. A. 2007 In : BMC Neuroscience. 8, Supp 2, 1 p., P1

    Research output: Contribution to journalMeeting abstract

  8. neuroConstruct: a tool for modeling networks of neurons in 3D space

    Gleeson, P., Steuber, V. & Silver, R. A. 2007 In : Neuron. 54, p. 219-235

    Research output: Contribution to journalArticle

  9. 2006
  10. Generation of time delays: simplified models of intracellular signalling in cerebellar Purkinje cells

    Steuber, V., Willshaw, D. & van Ooyen, A. 2006 In : Network: Computation in Neural Systems. 17, 2, p. 173-191

    Research output: Contribution to journalArticle

  11. 2004
  12. Passive models of neurons in the deep cerebellar nuclei: the effect of reconstruction errors

    Steuber, V., De Schutter, E. & Jaeger, D. Jun 2004 In : Neurocomputing. 58-60, p. 563-568 6 p.

    Research output: Contribution to journalArticle

  13. 2003
  14. Novelty detection in a Kohonen-like network with a long-term depression learning rule

    Theofilou, D., Steuber, V. & De Schutter, E. Jun 2003 In : Neurocomputing. 52-4, p. 411-417 7 p.

    Research output: Contribution to journalArticle

  15. 2002
  16. Rank order decoding of temporal parallel fibre input patterns in a complex Purkinje cell model

    Steuber, V. & De Schutter, E. Jun 2002 In : Neurocomputing. 44, p. 183-188 6 p.

    Research output: Contribution to journalArticle

  17. 2001
  18. Long-term depression and recognition of parallel fibre patterns in a multi-compartmental model of a cerebellar Purkinje cell

    Steuber, V. & De Schutter, E. Jun 2001 In : Neurocomputing. 38-40, p. 383-388 6 p.

    Research output: Contribution to journalArticle

  19. Modeling of neurons with active dendrites

    De Schutter, E. & Steuber, V. 2001 Computational Neuroscience: Realistic Modeling for Experimentalists. De Schutter, E. (ed.). CRC Press, Vol. Chapter 9, p. 233-257

    Research output: Chapter in Book/Report/Conference proceedingChapter

  20. 2000
  21. A computational study of parallel fibre LTD as a learning mechanism in cerebellar Purkinje cells

    Steuber, V. & De Schutter, E. 2000 In : European Journal of Neuroscience. 12, p. 444 1 p.

    Research output: Contribution to journalMeeting abstract

  22. 1999
  23. Adaptive leaky integrator models of cerebellar Purkinje cells can learn the clustering of temporal patterns

    Steuber, V. & Willshaw, D. J. Jun 1999 In : Neurocomputing. 26-27, p. 271-276 6 p.

    Research output: Contribution to journalArticle

  24. 1998
  25. Computational models of synaptic delay adaptation by phosphorylation of metabotropic glutamate receptors.

    Steuber, V., van Ooyen, A. & Willshaw, D. J. 1998 In : European Journal of Neuroscience. 10, p. 21-21 1 p.

    Research output: Contribution to journalMeeting abstract

  26. Modelling the control of calcium oscillations by phosphorylation of metabotropic glutamate receptors

    Steuber, V. & Willshaw, D. J. 1998 Computational Neuroscience: Trends in Research. NEW YORK: PLENUM PRESS DIV PLENUM PUBLISHING CORP, p. 273-277 5 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  27. 1997
  28. How a single Purkinje cell could learn the adaptive timing of the classically conditioned eye-blink response

    Steuber, V. & Willshaw, D. 1997 Lecture Notes in Computer Science. Vol. 1327, p. 115-120

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  29. The dual role of calcium in synaptic plasticity at the motor endplate

    Joseph, S. R. H., Steuber, V. & Willshaw, D. J. 1997 Computational neuroscience: trends in research, 1997. Bower, J. M. (ed.). NEW YORK: PLENUM PRESS DIV PLENUM PUBLISHING CORP, p. 712 6 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  30. 1996
  31. Structural features of a close homologue of L1 (CHL1) in the mouse: a new member of the L1 family of neural recognition molecules

    Holm, J., Hillenbrand, R., Steuber, V., Bartsch, U., Moos, M., Lübbert, H., Montag, D. & Schachner, M. 1996 In : European Journal of Neuroscience. 8, 8, p. 1613-29 17 p.

    Research output: Contribution to journalArticle

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