Volker Steuber


I have moved to the Department of Physiology at University College London (homepage,

 

Papers in Journals and Refereed Proceedings:

  • Steuber, V. and Willshaw, D.J.: A biophysical model of synaptic delay learning and temporal pattern recognition in a cerebellar Purkinje cell. Journal of Computational Neuroscience 17, 149-164. (2004)

  • Steuber, V., De Schutter, E. and Jaeger, D.: Passive models of neurons in the deep cerebellar nuclei: the effect of reconstruction errors. Neurocomputing 58, 563-568. (2004)

  • Theofilou, D., Steuber, V. and De Schutter, E.: Novelty detection in a Kohonen like network with a long-term depression learning rule. Neurocomputing 52, 411-417. (2003)

  • Steuber, V. and De Schutter, E.: Rank order decoding of temporal parallel fibre input patterns in a complex Purkinje cell model. Neurocomputing 44, 183-188. (2002)

  • Steuber, V. and De Schutter, E.: Long-term depression and recognition of parallel fibre patterns in a multi-compartmental model of a cerebellar Purkinje cell. Neurocomputing (2001)

  • De Schutter, E. and Steuber, V.: Modeling of neurons with active dendrites. In Computational Neuroscience: Realistic Modeling for Experimentalists. E. De Schutter editor, CRC Press, Boca Raton, 233-257 (2000).

  • Steuber, V. and Willshaw, D.J.: Adaptive leaky integrator models of cerebellar Purkinje cells can learn the clustering of temporal patterns. Neurocomputing 26: 271-276 (1999).

  • Steuber, V. and Willshaw, D.J.: Modelling the control of calcium oscillations by phosphorylation of metabotropic glutamate receptors. Computational Neuroscience: Trends in Research 98, J. Bower, ed., Plenum Press, 273-277 (1998).

  • Steuber, V. and Willshaw, D.J.: How a single Purkinje cell could learn the adaptive timing of the classically conditioned eye-blink response. Lecture Notes in Computer Science 1327, 115-120(1997).

  • Joseph, S., Steuber, V. and Willshaw, D.J.: The dual role of calcium in synaptic plasticity at the motor endplate. Computational Neuroscience: Trends in Research 97, J. Bower, ed., Plenum Press, 7-12 (1997).

  • Holm, J., Hillenbrand, R., Steuber, V., Bartsch, U., Moos, M., Lübbert, H., Montag, D. and Schachner, M.: Structural features of a close homologue of L1 (CHL1) in the mouse: a new member of the L1 family of neural recognition molecules. Eur. J. Neurosci. 8: 1613 - 1629 (1996).

Selected Abstracts:

  • Steuber, V. and Silver, R.A.: Multiplicative gain modulation for linear and non-linear inputs. 13th Annual Computational Neuroscience Meeting CNS*04, Baltimore, Maryland, USA. (2004)

  • Gleeson, P., Steuber, V. and Silver, R.A.: Automated development of large-scale realistic networks for NEURON using neuroConstruct. NEURON Simulator Meeting, Chicago, USA. (2004)

  • Shin, S.L., Steuber, V., Fagerstedt, P. and De Schutter, E.: Correlation of simple spike activity in cerebellar Purkinje cells. Soc. Neurosci. Abstr. (2001)

  • Steuber, V., Volny-Luraghi, A., Maex, R. and De Schutter, E.: PF noise improves the Ltd based recognition of PF patterns in a detailed Purkinje cell model. Soc. Neurosci. Abstr. (2000).

  • Steuber, V. and De Schutter, E.: A computational study of parallel fibre Ltd as learning mechanism in cerebellar Purkinje cells. Eur. J. Neurosci. 12 Suppl. 11, 198.03 (2000).

  • Steuber, V., van Ooyen, A. and Willshaw, D.J.: Computational models of synaptic delay learning by phoshorylation of metabotropic glutamate receptors. Eur. J. Neurosci. 10 Suppl. 10, 14.20 (1998).

Theses:

  • Steuber, V.: Computational Models of Intracellular Signalling in Cerebellar Purkinje Cells. PhD thesis, The University of Edinburgh (1998).

  • Steuber, V.: Theories of Memory in the Cerebellar Cortex. MSc thesis, The University of Edinburgh (1994).

  • Steuber, V.: Characterisierung von CHL1. Diplomarbeit, Eidgenssisch Technische Hochschule Zürich (1993).

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