Volker Steuber

Giseli de Sousa, Reinoud Maex, Rod Adams, Neil Davey, Volker Steuber: Evolving Dendritic Morphology and Parameters in Biologically Realistic Model Neurons for Pattern Recognition. ICANN (1) 2012: 355-362

Thiago M. Pinto, Maria J. Schilstra, Volker Steuber: The Effective Calcium/Calmodulin Concentration Determines the Sensitivity of CaMKII to the Frequency of Calcium Oscillations. IPCAT 2012: 131-135

Alex Metaxas, Reinoud Maex, Volker Steuber, Rod Adams, Neil Davey: The Effect of Different Types of Synaptic Plasticity on the Performance of Associative Memory Networks with Excitatory and Inhibitory Sub-populations. IPCAT 2012: 136-142

Volker Steuber, Nathan W. Schultheiss, Angus Silver, Erik De Schutter, Dieter Jaeger: Determinants of synaptic integration and heterogeneity in rebound firing explored with data-driven models of deep cerebellar nucleus cells. Journal of Computational Neuroscience 30(3): 633-658 (2011)

Reinoud Maex, Volker Steuber: The first second: Models of short-term memory traces in the brain. Neural Networks 22(8): 1105-1112 (2009)

Weiliang Chen, Reinoud Maex, Rod Adams, Volker Steuber, Lee Calcraft, Neil Davey: Connection Strategies in Associative Memory Models with Spiking and Non-spiking Neurons. ICANNGA 2009: 42-51

Giseli de Sousa, Rod Adams, Neil Davey, Reinoud Maex, Volker Steuber: The Effect of Different Forms of Synaptic Plasticity on Pattern Recognition in the Cerebellar Cortex. ICANNGA 2009: 413-422

Weiliang Chen, Rod Adams, Lee Calcraft, Volker Steuber, Neil Davey: Connectivity graphs and the performance of sparse associative memory models. IJCNN 2008: 2742-2749

Nicolas Oros, Volker Steuber, Neil Davey, Lola Cañamero, Rod Adams: Adaptive Olfactory Encoding in Agents Controlled by Spiking Neural Networks. SAB 2008: 148-158

Cengiz Günay, Tomasz G. Smolinski, William W. Lytton, Thomas M. Morse, Padraig Gleeson, Sharon Crook, Volker Steuber, Angus Silver, Horatiu Voicu, Peter Andrews, Hemant Bokil, Hiren Maniar, Catherine Loader, Samar Mehta, David Kleinfeld, David J. Thomson, Partha P. Mitra, Gloster Aaron, Jean-Marc Fellous: Computational Intelligence in Electrophysiology: Trends and Open Problems. Applications of Computational Intelligence in Biology 2008: 325-359

Volker Steuber, Erik De Schutter, Dieter Jaeger: Passive models of neurons in the deep cerebellar nuclei: the effect of reconstruction errors. Neurocomputing 58-60: 563-568 (2004)

Volker Steuber, David J. Willshaw: A Biophysical Model of Synaptic Delay Learning and Temporal Pattern Recognition in a Cerebellar Purkinje Cell. Journal of Computational Neuroscience 17(2): 149-164 (2004)

Dionyssios Theofilou, Volker Steuber, Erik De Schutter: Novelty detection in a Kohonen-like network with a long-term depression learning rule. Neurocomputing 52-54: 411-417 (2003)

Volker Steuber, Erik De Schutter: Rank order decoding of temporal parallel fibre input patterns in a complex Purkinje cell model. Neurocomputing 44-46: 183-188 (2002)

Volker Steuber, Erik De Schutter: Long-term depression and recognition of parallel fibre patterns in a multi-compartmental model of a cerebellar Purkinje cell. Neurocomputing 38-40: 383-388 (2001)

Volker Steuber, David J. Willshaw: Adaptive leaky integrator models of cerebellar Purkinje cells can learn the clustering of temporal patterns. Neurocomputing 26-27: 271-276 (1999)

Volker Steuber, David J. Willshaw: How a Single Purkinje Cell Could Learn the Adaptive Timing of the Classically Conditioned Eye-Blink Response. ICANN 1997: 115-120