University of Hertfordshire

Dr Volker Steuber

Dr Volker Steuber

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

Publications

  1. 2013
  2. A Defined Heteromeric KV1 Channel Stabilizes the Intrinsic Pacemaking and Regulates the Efferent Code of Deep Cerebellar Nuclear Neurons to Thalamic Targets

    Ovsepian, S., Steuber, V., Le Berre, M., O'Hara, L., O'Leary, V. & Dolly, O. Apr 2013 In : Journal of Physiology. 591, p. 1771-1791

    Research output: Contribution to journalArticle

  3. A potential role for the cerebellar nuclei in absence seizures

    Alva, P., Kroos, L., Maex, R., De Zeeuw, C. I., Adams, R. G., Davey, N., Steuber, V. & Hoebeek, F. E. 2013 In : BMC Neuroscience. 14, Supp 1, 2 p., P170

    Research output: Contribution to journalMeeting abstract

  4. Cerebellar role in absence epilepsy in CACNA1 mutant mice

    Kros, L., Eelkman Rooda, O., Spanke, J., Negrello, M., Alva, P., Winkelman, B., Tolner, E., Steuber, V., van den Maagdenberg, A., De Zeeuw, C. I. & Hoebeek, F. E. 2013

    Research output: Contribution to conferenceAbstract

  5. Characterising the performance of balanced memory networks

    Metaxas, A., Maex, R., Adams, R. G., Steuber, V. & Davey, N. 2013 In : BMC Neuroscience. 14, Supp 1, 1 p., P88

    Research output: Contribution to journalMeeting abstract

  6. Evolution of Dendritic Morphologies Using Deterministic and Nondeterministic Genotype to Phenotype Mapping

    Alva, P., De Sousa, G., Torben-Nielsen, B., Maex, R., Adams, R., Davey, N. & Steuber, V. 2013 Artificial Neural Networks and Machine Learning: ICANN 2013. Springer, p. 319-326 (Lecture Notes in Computer Science; vol. 8131)

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

  7. Filamentous actin binding enables betaCaMKII to regulate bidirectional plasticity in cerebellar Purkinje cells

    Pinto, T. M., Schilstra, M. & Steuber, V. 2013 In : BMC Neuroscience. 14, Supp 1, 2 p., P375

    Research output: Contribution to journalMeeting abstract

  8. From evolving artificial gene regulatory networks to evolving spiking neural networks for pattern recognition

    Abdelmotaleb, A., Schilstra, M., Davey, N., Steuber, V. & Wrobel, B. 2013 In : BMC Neuroscience. 14, Supp 1, 1 p., P423

    Research output: Contribution to journalMeeting abstract

  9. Interoperability in the GENESIS 3.0 Software Federation: the NEURON Simulator as an Example

    Cornelis, H., Bampasakis, D., Steuber, V. & Bower, J. M. 2013 In : BMC Neuroscience. 14, Supp 1, 2 p., P33

    Research output: Contribution to journalMeeting abstract

  10. The implications of evolutionary changes in the dendritic morphology of cerebellar Purkinje cells for information processing

    Kidd, K., Cornelis, H., Bower, J. M., Polani, D., Davey, N. & Steuber, V. 2013 In : BMC Neuroscience. 14, Supp 1, 1 p., P373

    Research output: Contribution to journalMeeting abstract

  11. 2012
  12. Creating, documenting and sharing network models

    Crook, S. M., Bednar, J. A., Berger, S., Cannon, R., Davison, A. P., Djurfeldt, M., Eppler, J., Kriener, B., Furber, S., Graham, B., Plesser, H. E., Schwabe, L., Smith, L., Steuber, V. & van Albada, S. Dec 2012 In : Network: Computation in Neural Systems. 23, 4, p. 131-149

    Research output: Contribution to journalArticle

  13. Determinants of associative memory performance in spiking and non-spiking neural networks with different synaptic plasticity regimes

    Metaxas, A., Maex, R., Adams, R. G., Steuber, V. & Davey, N. 2012 In : BMC Neuroscience. 13, Supp 1, 1 p., P156

    Research output: Contribution to journalMeeting abstract

  14. Does CamKII decode ca2+ oscillations?

    Pinto, T. M., Schilstra, M. & Steuber, V. 2012 In : BMC Neuroscience. 13, Supp 1, 2 p., O15

    Research output: Contribution to journalMeeting abstract

  15. Evolving dendritic morphology and parameters in biologically realistic model neurons for pattern recognition

    De Sousa, G., Maex, R., Adams, R., Davey, N. & Steuber, V. 2012 Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Springer, Vol. 7552 LNCS, p. 355-362 8 p.

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

  16. NeuroML

    Gleeson, P., Steuber, V., Silver, A. & Crook, S. 2012 Computational Systems Neurobiology. Le Novere, N. (ed.). Springer, p. 489-518

    Research output: Chapter in Book/Report/Conference proceedingChapter

  17. The Open Source Brain Initiative: enabling collaborative modelling in computational neuroscience

    Gleeson, P., Piasini, E., Crook, S., Cannon, R., Steuber, V., Jaeger, D., Solinas, S., D'Angelo, E. & Silver, R. A. 2012 In : BMC Neuroscience. 13, Supp 1, 2 p., O7

    Research output: Contribution to journalMeeting abstract

  18. The effect of different types of synaptic plasticity on the performance of associative memory networks with excitatory and inhibitory sub-populations

    Metaxas, A., Maex, R., Steuber, V., Adams, R. & Davey, N. 2012 Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Springer, Vol. 7223 LNCS, p. 136-142 7 p.

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

  19. The effective calcium/calmodulin concentration determines the sensitivity of CaMKII to the frequency of calcium oscillations

    Pinto, T. M., Schilstra, M. & Steuber, V. 2012 Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 7223 LNCS, p. 131-135 5 p.

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

  20. 2011
  21. Clustering predicts memory performance in networks of spiking and non-spiking neurons

    Chen, W., Maex, R., Adams, R. G., Steuber, V., Calcraft, L. & Davey, N. 2011 In : Frontiers in Computational Neuroscience. 5, 14

    Research output: Contribution to journalArticle

  22. Determinants of synaptic integration and heterogeneity in rebound firing explored with data-driven models of deep cerebellar nucleus cells

    Steuber, V., Schultheiss, N. W., Silver, R. A., De Schutter, E. & Jaeger, D. 2011 In : Journal of Computational Neuroscience. 30, 3, p. 633-658

    Research output: Contribution to journalArticle

  23. STD-dependent and independent encoding of input irregularity as spike rate in a computational model of a cerebellar nucleus neuron

    Luthman, J., Hoebeek, F. E., Maex, R., Davey, N., Adams, R., De Zeeuw, C. I. & Steuber, V. 2011 In : Cerebellum. 10, 4, p. 667-682

    Research output: Contribution to journalArticle

  24. The Beneficial Effects of Non-specific Synaptic Plasticity for Pattern Recognition in Auto-associative Memory

    Calcraft, L., Maex, R., Davey, N. & Steuber, V. 2011 In : BMC Neuroscience. 12, Supp 1, 2 p., P316

    Research output: Contribution to journalMeeting abstract

  25. The effect of dendritic morphology on pattern recognition in the presence of active conductances

    De Sousa, G., Maex, R., Adams, R. G., Davey, N. & Steuber, V. 2011 In : BMC Neuroscience. 12, Supp 1, 2 p., P315

    Research output: Contribution to journalMeeting abstract

  26. 2010
  27. Computer Simulation Environments

    Gleeson, P., Silver, A. & Steuber, V. 2010 Hippocampal Microcircuits: A Computational Modeler's Resource Book. Cutsuridis, V., Graham, B., Cobb, S. & Vida, I. (eds.). Springer, p. 593-606 (Springer Series in Computational Neuroscience)

    Research output: Chapter in Book/Report/Conference proceedingChapter