Volker Steuber - Publications

Affiliations: 
Science and Technology Research Institute University of Hertfordshire 
Area:
computational neuroscience, systems biology, biocomputation
Website:
http://homepages.stca.herts.ac.uk/~comqvs/index.html

43 high-probability publications. We are testing a new system for linking publications to authors. You can help! If you notice any inaccuracies, please sign in and mark papers as correct or incorrect matches. If you identify any major omissions or other inaccuracies in the publication list, please let us know.

Year Citation  Score
2017 Stotz HU, de Oliveira Almeida R, Davey N, Steuber V, Valente GT. Review of combinations of experimental and computational techniques to identifyand understand genes involved in innate immunity and effector-triggered defence. Methods (San Diego, Calif.). PMID 28867500 DOI: 10.1016/j.ymeth.2017.08.019  0.68
2017 Safaryan K, Maex R, Davey N, Adams R, Steuber V. Nonspecific synaptic plasticity improves the recognition of sparse patterns degraded by local noise. Scientific Reports. 7: 46550. PMID 28425471 DOI: 10.1038/srep46550  1
2016 Ovsepian SV, LeBerre M, Steuber V, O'Leary VB, Leibold C, Oliver Dolly J. Distinctive role of KV1.1 subunit in the biology and functions of low threshold K(+) channels with implications for neurological disease. Pharmacology & Therapeutics. PMID 26825872 DOI: 10.1016/j.pharmthera.2016.01.005  1
2015 Kros L, Eelkman Rooda OH, Spanke JK, Alva P, van Dongen MN, Karapatis A, Tolner EA, Strydis C, Davey N, Winkelman BH, Negrello M, Serdijn WA, Steuber V, van den Maagdenberg AM, De Zeeuw CI, et al. Cerebellar output controls generalized spike-and-wave discharge occurrence. Annals of Neurology. 77: 1027-49. PMID 25762286 DOI: 10.1002/ana.24399  1
2015 de Sousa G, Maex R, Adams R, Davey N, Steuber V. Dendritic morphology predicts pattern recognition performance in multi-compartmental model neurons with and without active conductances. Journal of Computational Neuroscience. 38: 221-34. PMID 25380637 DOI: 10.1007/s10827-014-0537-1  1
2015 Pinto TM, Schilstra MJ, Steuber V, Roque AC. Unravelling how βCaMKII controls the direction of plasticity at parallel fibre-Purkinje cell synapses Aip Conference Proceedings. 1702. DOI: 10.1063/1.4938909  1
2015 Steuber V. Modeling the Generation of Cerebellar Nuclear Spike Output The Neuronal Codes of the Cerebellum. 117-133. DOI: 10.1016/B978-0-12-801386-1.00005-8  1
2013 Maex R, Steuber V. An integrator circuit in cerebellar cortex. The European Journal of Neuroscience. 38: 2917-32. PMID 23731348 DOI: 10.1111/ejn.12272  1
2013 Ovsepian SV, Steuber V, Le Berre M, O'Hara L, O'Leary VB, Dolly JO. A defined heteromeric KV1 channel stabilizes the intrinsic pacemaking and regulates the output of deep cerebellar nuclear neurons to thalamic targets. The Journal of Physiology. 591: 1771-91. PMID 23318870 DOI: 10.1113/jphysiol.2012.249706  1
2013 Steuber V, Jaeger D. Modeling the generation of output by the cerebellar nuclei. Neural Networks : the Official Journal of the International Neural Network Society. 47: 112-9. PMID 23200193 DOI: 10.1016/j.neunet.2012.11.006  1
2013 Alva P, De Sousa G, Torben-Nielsen B, Maex R, Adams R, Davey N, Steuber V. Evolution of dendritic morphologies using deterministic and nondeterministic genotype to phenotype mapping Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 8131: 319-326. DOI: 10.1007/978-3-642-40728-4_40  1
2012 Crook SM, Bednar JA, Berger S, Cannon R, Davison AP, Djurfeldt M, Eppler J, Kriener B, Furber S, Graham B, Plesser HE, Schwabe L, Smith L, Steuber V, van Albada S. Creating, documenting and sharing network models. Network (Bristol, England). 23: 131-49. PMID 22994683 DOI: 10.3109/0954898X.2012.722743  1
2012 Gleeson P, Steuber V, Silver RA, Crook S. NeuroML Computational Systems Neurobiology. 489-517. DOI: 10.1007/978-94-007-3858-4_16  1
2012 De Sousa G, Maex R, Adams R, Davey N, Steuber V. Evolving dendritic morphology and parameters in biologically realistic model neurons for pattern recognition Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 7552: 355-362. DOI: 10.1007/978-3-642-33269-2_45  1
2012 Metaxas A, Maex R, Steuber V, Adams R, Davey N. The effect of different types of synaptic plasticity on the performance of associative memory networks with excitatory and inhibitory sub-populations Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 7223: 136-142. DOI: 10.1007/978-3-642-28792-3_18  1
2012 Pinto TM, Schilstra MJ, Steuber V. The effective calcium/calmodulin concentration determines the sensitivity of CaMKII to the frequency of calcium oscillations Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 7223: 131-135. DOI: 10.1007/978-3-642-28792-3_17  1
2011 Luthman J, Hoebeek FE, Maex R, Davey N, Adams R, De Zeeuw CI, Steuber V. STD-dependent and independent encoding of input irregularity as spike rate in a computational model of a cerebellar nucleus neuron. Cerebellum (London, England). 10: 667-82. PMID 21761198 DOI: 10.1007/s12311-011-0295-9  1
2011 Chen W, Maex R, Adams R, Steuber V, Calcraft L, Davey N. Clustering predicts memory performance in networks of spiking and non-spiking neurons. Frontiers in Computational Neuroscience. 5: 14. PMID 21519373 DOI: 10.3389/fncom.2011.00014  1
2011 Steuber V, Schultheiss NW, Silver RA, De Schutter E, Jaeger D. Determinants of synaptic integration and heterogeneity in rebound firing explored with data-driven models of deep cerebellar nucleus cells. Journal of Computational Neuroscience. 30: 633-58. PMID 21052805 DOI: 10.1007/s10827-010-0282-z  1
2009 Maex R, Steuber V. The first second: models of short-term memory traces in the brain. Neural Networks : the Official Journal of the International Neural Network Society. 22: 1105-12. PMID 19635658 DOI: 10.1016/j.neunet.2009.07.022  1
2009 De Schutter E, Steuber V. Patterns and pauses in Purkinje cell simple spike trains: experiments, modeling and theory. Neuroscience. 162: 816-26. PMID 19249335 DOI: 10.1016/j.neuroscience.2009.02.040  1
2009 Rothman JS, Cathala L, Steuber V, Silver RA. Synaptic depression enables neuronal gain control. Nature. 457: 1015-8. PMID 19145233 DOI: 10.1038/nature07604  1
2009 Bowes D, Adams R, Cãnamero L, Steuber V, Davey N. The role of lateral inhibition in the sensory processing in a simulated spiking neural controller for a robot 2009 Ieee Symposium On Artificial Life, Alife 2009 - Proceedings. 179-183. DOI: 10.1109/ALIFE.2009.4937710  1
2009 Oros N, Steuber V, Davey N, Canamero L, Adams R. Evolution of bilateral symmetry in agents controlled by spiking neural networks 2009 Ieee Symposium On Artificial Life, Alife 2009 - Proceedings. 116-123. DOI: 10.1109/ALIFE.2009.4937702  1
2009 Chen W, Maex R, Adams R, Steuber V, Calcraft L, Davey N. Connection strategies in associative memory models with spiking and non-spiking neurons Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 5495: 42-51. DOI: 10.1007/978-3-642-04921-7_5  1
2009 De Sousa G, Adams R, Davey N, Maex R, Steuber V. The effect of different forms of synaptic plasticity on pattern recognition in the cerebellar cortex Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 5495: 413-422. DOI: 10.1007/978-3-642-04921-7_42  1
2008 Chen W, Adams R, Calcraft L, Steuber V, Davey N. Connectivity graphs and the performance of sparse associative memory models Proceedings of the International Joint Conference On Neural Networks. 2742-2749. DOI: 10.1109/IJCNN.2008.4634183  1
2008 Gleeson P, Steuber V, Silver RA. Using Neuroconstruct to Develop and Modify Biologically Detailed 3d Neuronal Network Models in Health and Disease Computational Neuroscience in Epilepsy. 48-70. DOI: 10.1016/B978-012373649-9.50008-9  1
2008 Günay C, Smolinski TG, Lytton WW, Morse TM, Gleeson P, Crook S, Steuber V, Silver A, Voicu H, Andrews P, Bokil H, Maniar H, Loader C, Mehta S, Kleinfeld D, et al. Computational intelligence in electrophysiology: Trends and open problems Studies in Computational Intelligence. 122: 325-359. DOI: 10.1007/978-3-540-78534-7_14  1
2008 Oros N, Steuber V, Davey N, Cañamero L, Adams R. Adaptive olfactory encoding in agents controlled by spiking neural networks Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 5040: 148-158. DOI: 10.1007/978-3-540-69134-1_15  1
2008 Oros N, Steuber V, Davey N, Canamero L, Adams R. Optimal noise in spiking neural networks for the detection of chemicals by simulated agents Artificial Life Xi: Proceedings of the 11th International Conference On the Simulation and Synthesis of Living Systems, Alife 2008. 443-449.  1
2008 Bowes D, Adams R, Cañamero L, Steuber V, Davey N. Receptor response and soma leakiness in a simulated spiking neural controller for a robot Artificial Neural Networks and Intelligent Information Processing - Proc. 4th Int. Workshop On Artificial Neural Networks and Intelligent Information Processing, Anniip 2008; Icinco 2008. 100-106.  1
2007 Gleeson P, Steuber V, Silver RA. neuroConstruct: a tool for modeling networks of neurons in 3D space. Neuron. 54: 219-35. PMID 17442244 DOI: 10.1016/j.neuron.2007.03.025  1
2007 Steuber V, Mittmann W, Hoebeek FE, Silver RA, De Zeeuw CI, Häusser M, De Schutter E. Cerebellar LTD and pattern recognition by Purkinje cells. Neuron. 54: 121-36. PMID 17408582 DOI: 10.1016/j.neuron.2007.03.015  1
2006 Steuber V, Willshaw D, Van Ooyen A. Generation of time delays: simplified models of intracellular signalling in cerebellar Purkinje cells. Network (Bristol, England). 17: 173-91. PMID 16818396 DOI: 10.1080/09548980500520328  1
2004 Steuber V, Willshaw D. A biophysical model of synaptic delay learning and temporal pattern recognition in a cerebellar Purkinje cell. Journal of Computational Neuroscience. 17: 149-64. PMID 15306737 DOI: 10.1023/B:JCNS.0000037678.26155.b5  1
2004 Steuber V, De Schutter E, Jaeger D. Passive models of neurons in the deep cerebellar nuclei: The effect of reconstruction errors Neurocomputing. 58: 563-568. DOI: 10.1016/j.neucom.2004.01.095  1
2003 Theofilou D, Steuber V, De Schutter E. Novelty detection in a Kohonen-like network with a long-term depression learning rule Neurocomputing. 52: 411-417.  1
2002 Steuber V, De Schutter E. Rank order decoding of temporal parallel fibre input patterns in a complex Purkinje cell model Neurocomputing. 44: 183-188. DOI: 10.1016/S0925-2312(02)00388-0  1
2001 Steuber V, De Schutter E. Long-term depression and recognition of parallel fibre patterns in a multi-compartmental model of a cerebellar Purkinje cell Neurocomputing. 38: 383-388. DOI: 10.1016/S0925-2312(01)00458-1  1
1999 Steuber V, Willshaw DJ. Adaptive leaky integrator models of cerebellar Purkinje cells can learn the clustering of temporal patterns Neurocomputing. 26: 271-276. DOI: 10.1016/S0925-2312(99)00021-1  1
1997 Steuber V, Willshaw DJ. How a single purkinje cell could learn the adaptive timing of the classically conditioned eye-blink response Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 1327: 116-120.  1
1996 Holm J, Hillenbrand R, Steuber V, Bartsch U, Moos M, Lübbert H, Montag D, 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. The European Journal of Neuroscience. 8: 1613-29. PMID 8921253  1
Show low-probability matches.