University of Hertfordshire

Dr Volker Steuber

Dr Volker Steuber

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

Publications

  1. 2010
  2. Optimization of neuronal morphologies for pattern recognition

    De Sousa, G., Maex, R., Adams, R. G., Davey, N. & Steuber, V. 2010 In : BMC Neuroscience. 11, Supp 1, 1 p., P80

    Research output: Contribution to journalMeeting abstract

  3. The effect of non-specific LTD on pattern recognition in cerebellar Purkinje cells

    Safaryan, K., Maex, R., Adams, R. G., Davey, N. & Steuber, V. 2010 In : BMC Neuroscience. 11, Supp 1, 1 p., P118

    Research output: Contribution to journalMeeting abstract

  4. 2009
  5. Connection Strategies in Associative Memory Models

    Chen, W., Maex, R., Adams, R. G., Calcraft, L., Steuber, V. & Davey, N. 2009 In : Lecture Notes in Computer Science. 5495, p. 42-51

    Research output: Contribution to journalArticle

  6. Decoding of Purkinje cell pauses by deep cerebellar nucleus neurons

    Luthman, J., Adams, R., Davey, N., Maex, R. & Steuber, V. 2009 BMC Neuroscience. Supp 1 ed. BioMed Central, Vol. 10, p. P105

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

  7. Evolution of bilateral symmetry in agents controlled by spiking neural networks

    Oros, N., Steuber, V., Davey, N., Cañamero, L. & Adams, R. G. 2009 Procs IEEE Symposium on Artificial Life: IEEE ALife '09. IEEE, p. 116-123

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

  8. Patterns and pauses in Purkinje cell simple spike trains: experiments, modeling and theory

    De Schutter, E. & Steuber, V. 2009 In : Neuroscience. 162, 3, p. 816-826

    Research output: Contribution to journalArticle

  9. Synaptic depression enables neuronal gain control

    Rothman, J. S., Cathala, L., Steuber, V. & Silver, R. A. 2009 In : Nature. 457, p. 1015-1018

    Research output: Contribution to journalArticle

  10. The first second: Models of short-term memory traces in the brain

    Maex, R. & Steuber, V. 2009 In : Neural Networks. 22, 8, p. 1105-12

    Research output: Contribution to journalArticle

  11. The role of lateral inhibition in the sensory processing in a simulated spiking neural controller for a robot

    Bowes, D., Adams, R. G., Cañamero, L., Steuber, V. & Davey, N. 2009 IEEE Symposium on Artificial Life, 2009, ALife '09. IEEE, p. 179-183

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

  12. 2008
  13. A European collaboration on cerebellar LTD and pattern recognition

    De Schutter, E. & Steuber, V. 2008 Advances in Cognitive Neurodynamics: Procs of the Int Conf on Cognitive Neurodynamics, ICCN 2007. Springer, Vol. Chap.4, p. 19-22

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

  14. Adaptive Olfactory Encoding in Agents Controlled by Spiking Neural Networks

    Oros, N., Steuber, V., Davey, N., Canamero, L. & Adams, R. G. 2008 In : Lecture Notes in Computer Science. 5040, From Animals to Animats 10, p. 148-158

    Research output: Contribution to journalArticle

  15. Computational Intelligence in Electrophysiology: Trends and Open Problems

    Gunay, C., Smolinski, T. G., Lytton, W. W., Morse, T. M., Gleeson, P., Crook, S., Steuber, V., Silver, R. A., Voicu, H., Andrews, P., Bokil, H., Maniar, H., Loader, C., Mehta, S., Kleinfeld, D., Thomson, D., Mitra, P. P., Aaron, G. & Fellous, J-M. 2008 Studies in Computational Intelligence Vol.122 : Applications of Computational Intelligence in Biology. Springer, p. 325-359

    Research output: Chapter in Book/Report/Conference proceedingChapter

  16. Connectivity graphs and the performance of sparse associative memory models

    Chen, W., Adams, R. G., Calcraft, L., Steuber, V. & Davey, N. 2008 Procs IEEE Int Joint Conf on Neural Networks: IJCNN 2008. IEEE, p. 2742-2749

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

  17. Determinants of pattern recognition by cerebellar Purkinje cells

    De Sousa, G., Adams, R. G., Davey, N. & Steuber, V. 2008 In : BMC Neuroscience. 9, Supp 1, 2 p., P67

    Research output: Contribution to journalMeeting abstract

  18. Optimal noise in spiking neural networks for the detection of chemicals by simulated agents

    Oros, N., Steuber, V., Davey, N., Cañamero, L. & Adams, R. G. 2008 Artificial Life XI: Procs of the 11th Int Conf on the Simulation and Synthesis of Living Systems. Bullock, S., Jason, N., Watson, R. & Bedau, M. A. (eds.). MIT Press, p. 443-449

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

  19. 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

  20. 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

  21. 2007
  22. 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

  23. 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

  24. 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

  25. 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

  26. 2006
  27. 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

  28. 2004
  29. 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