| Year |
Citation |
Score |
| 2022 |
Metzner C, Mäki-Marttunen T, Karni G, McMahon-Cole H, Steuber V. The effect of alterations of schizophrenia-associated genes on gamma band oscillations. Schizophrenia (Heidelberg, Germany). 8: 46. PMID 35854005 DOI: 10.1038/s41537-022-00255-7 |
0.625 |
|
| 2021 |
Metzner C, Steuber V. The beta component of gamma-band auditory steady-state responses in patients with schizophrenia. Scientific Reports. 11: 20387. PMID 34650135 DOI: 10.1038/s41598-021-99793-w |
0.641 |
|
| 2021 |
Sinha A, Metzner C, Davey N, Adams R, Schmuker M, Steuber V. Growth rules for the repair of Asynchronous Irregular neuronal networks after peripheral lesions. Plos Computational Biology. 17: e1008996. PMID 34061830 DOI: 10.1371/journal.pcbi.1008996 |
0.776 |
|
| 2020 |
Pinto TM, Schilstra MJ, Roque AC, Steuber V. Binding of Filamentous Actin to CaMKII as Potential Regulation Mechanism of Bidirectional Synaptic Plasticity by β CaMKII in Cerebellar Purkinje Cells. Scientific Reports. 10: 9019. PMID 32488204 DOI: 10.1038/s41598-020-65870-9 |
0.306 |
|
| 2019 |
Metzner C, Zurowski B, Steuber V. The Role of Parvalbumin-positive Interneurons in Auditory Steady-State Response Deficits in Schizophrenia. Scientific Reports. 9: 18525. PMID 31811155 DOI: 10.1038/S41598-019-53682-5 |
0.662 |
|
| 2018 |
Metzner C, Mäki-Marttunen T, Zurowski B, Steuber V. Modules for Automated Validation and Comparison of Models of Neurophysiological and Neurocognitive Biomarkers of Psychiatric Disorders: ASSRUnit—A Case Study Computational Psychiatry. 2: 74-91. DOI: 10.1162/cpsy_a_00015 |
0.59 |
|
| 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 |
0.784 |
|
| 2017 |
Newton AJH, Seidenstein AH, McDougal RA, Pérez-Cervera A, Huguet G, M-Seara T, Haimerl C, Angulo-Garcia D, Torcini A, Cossart R, Malvache A, Skiker K, Maouene M, Ragognetti G, Lorusso L, ... ... Steuber V, et al. 26th Annual Computational Neuroscience Meeting (CNS*2017): Part 3 Bmc Neuroscience. 18. DOI: 10.1186/S12868-017-0372-1 |
0.707 |
|
| 2016 |
Sharpee TO, Destexhe A, Kawato M, Sekulić V, Skinner FK, Wójcik DK, Chintaluri C, Cserpán D, Somogyvári Z, Kim JK, Kilpatrick ZP, Bennett MR, Josić K, Elices I, Arroyo D, ... ... Steuber V, et al. 25th Annual Computational Neuroscience Meeting: CNS-2016 Bmc Neuroscience. 17: 54. PMID 27534393 DOI: 10.1186/S12868-016-0283-6 |
0.734 |
|
| 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 |
0.778 |
|
| 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 |
0.757 |
|
| 2015 |
Alva P, Kros L, Eelkman Rooda OHJ, De Zeeuw CI, Adams R, Davey N, Hoebeek FE, Steuber V. Optimization of input parameters to a CN neuron model to simulate its activity during and between epileptic absence seizures Bmc Neuroscience. 16. DOI: 10.1186/1471-2202-16-S1-P280 |
0.799 |
|
| 2015 |
Wróbel B, Abdelmotaleb A, Davey N, Steuber V. Evolving small spiking neural networks to work as state machines for temporal pattern recognition Bmc Neuroscience. 16. DOI: 10.1186/1471-2202-16-S1-P238 |
0.806 |
|
| 2015 |
Wróbel B, Abdelmotaleb A, Davey N, Steuber V. Animal control by spiking neural networks evolved with a genetic algorithm Bmc Neuroscience. 16. DOI: 10.1186/1471-2202-16-S1-P237 |
0.789 |
|
| 2015 |
Kidd K, Davey N, Polani D, Bower JM, Steuber V. Using transfer entropy to study synaptic integration in Purkinje cells Bmc Neuroscience. 16. DOI: 10.1186/1471-2202-16-S1-P236 |
0.638 |
|
| 2015 |
Sinha A, Davey N, Adams R, Steuber V. Structural plasticity and associative memory in balanced neural networks with spike-time dependent inhibitory plasticity Bmc Neuroscience. 16. DOI: 10.1186/1471-2202-16-S1-P235 |
0.693 |
|
| 2014 |
Abdelmotaleb A, Davey N, Schilstra M, Steuber V, Wróbel B. volving Spiking Neural Networks for Temporal Pattern Recognition in the Presence of Noise Artificial Life. 965-972. DOI: 10.7551/978-0-262-32621-6-Ch157 |
0.783 |
|
| 2014 |
Pinto TM, Schilstra MJ, Steuber V, Roque AC. βCaMKII regulates bidirectional long-term plasticity in cerebellar Purkinje cells by a CaMKII/PP2B switch mechanism Bmc Neuroscience. 15. DOI: 10.1186/1471-2202-15-S1-P58 |
0.3 |
|
| 2014 |
Kidd K, Bower JM, Polani D, Davey N, Steuber V. Information theoretical analysis of differences in information transmission in cerebellar Purkinje cells across species Bmc Neuroscience. 15. DOI: 10.1186/1471-2202-15-S1-P40 |
0.65 |
|
| 2014 |
Alva P, Kros L, Eelkman Rooda OHJ, De Zeeuw CI, Adams R, Davey N, Hoebeek FE, Steuber V. Combining machine learning and simulations of a morphologically realistic model to study modulation of neuronal activity in cerebellar nuclei during absence epilepsy Bmc Neuroscience. 15. DOI: 10.1186/1471-2202-15-S1-P39 |
0.798 |
|
| 2014 |
Bampasakis D, Maex R, Davey N, Steuber V. Determinants of gain modulation enabled by short-term depression at an inhibitory cerebellar synapse Bmc Neuroscience. 15. DOI: 10.1186/1471-2202-15-S1-O11 |
0.788 |
|
| 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 |
0.685 |
|
| 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 |
0.362 |
|
| 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 |
0.403 |
|
| 2013 |
Metaxas A, Maex R, Adams R, Steuber V, Davey N. Characterising the performance of balanced memory networks Bmc Neuroscience. 14. DOI: 10.1186/1471-2202-14-S1-P88 |
0.749 |
|
| 2013 |
Abdelmotaleb A, Schilstra M, Davey N, Steuber V, Wróbel B. From evolving artificial gene regulatory networks to evolving spiking neural networks for pattern recognition Bmc Neuroscience. 14. DOI: 10.1186/1471-2202-14-S1-P423 |
0.801 |
|
| 2013 |
Pinto TM, Schilstra MJ, Steuber V. Filamentous actin binding enables βCaMKII to regulate bidirectional plasticity in cerebellar Purkinje cells Bmc Neuroscience. 14. DOI: 10.1186/1471-2202-14-S1-P375 |
0.338 |
|
| 2013 |
Bampasakis D, Maex R, Davey N, Steuber V. Short-term depression of inhibitory Purkinje cell synapses enhances gain modulation in the cerebellar nuclei Bmc Neuroscience. 14. DOI: 10.1186/1471-2202-14-S1-P374 |
0.774 |
|
| 2013 |
Kidd K, Cornelis H, Bower JM, Polani D, Davey N, Steuber V. The implications of evolutionary changes in the dendritic morphology of cerebellar Purkinje cells for information processing Bmc Neuroscience. 14. DOI: 10.1186/1471-2202-14-S1-P373 |
0.658 |
|
| 2013 |
Cornelis H, Bampasakis D, Steuber V, Bower JM. Interoperability in the GENESIS 3.0 Software Federation: the NEURON Simulator as an Example Bmc Neuroscience. 14. DOI: 10.1186/1471-2202-14-S1-P33 |
0.78 |
|
| 2013 |
Alva P, Kros L, Maex R, De Zeeuw CI, Adams R, Davey N, Steuber V, Hoebeek FE. A potential role for the cerebellar nuclei in absence seizures Bmc Neuroscience. 14. DOI: 10.1186/1471-2202-14-S1-P170 |
0.774 |
|
| 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 |
0.739 |
|
| 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 |
0.356 |
|
| 2012 |
Pinto TM, Schilstra MJ, Steuber V. Modelling the role of βCaMKII in regulating bidirectional plasticity at parallel fibre–Purkinje cell synapses Frontiers in Computational Neuroscience. 6. DOI: 10.3389/CONF.FNCOM.2012.55.00188 |
0.309 |
|
| 2012 |
Metaxas A, Maex R, Adams R, Steuber V, Davey N. Determinants of associative memory performance in spiking and non-spiking neural networks with different synaptic plasticity regimes Bmc Neuroscience. 13. DOI: 10.1186/1471-2202-13-S1-P156 |
0.783 |
|
| 2012 |
Gleeson P, Piasini E, Crook S, Cannon R, Steuber V, Jaeger D, Solinas S, D’Angelo E, Silver RA. The Open Source Brain Initiative: enabling collaborative modelling in computational neuroscience Bmc Neuroscience. 13. DOI: 10.1186/1471-2202-13-S1-O7 |
0.793 |
|
| 2012 |
Pinto TM, Schilstra MJ, Steuber V. Does CaMKII decode Ca2+oscillations? Bmc Neuroscience. 13. DOI: 10.1186/1471-2202-13-S1-O15 |
0.319 |
|
| 2012 |
Gleeson P, Steuber V, Silver RA, Crook S. NeuroML Computational Systems Neurobiology. 489-517. DOI: 10.1007/978-94-007-3858-4_16 |
0.452 |
|
| 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 |
0.735 |
|
| 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 |
0.724 |
|
| 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 |
0.778 |
|
| 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 |
0.738 |
|
| 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 |
0.631 |
|
| 2011 |
Calcraft L, Maex R, Davey N, Steuber V. The beneficial effects of non-specific synaptic plasticity for pattern recognition in auto-associative memory Bmc Neuroscience. 12. DOI: 10.1186/1471-2202-12-S1-P316 |
0.694 |
|
| 2011 |
de Sousa G, Maex R, Adams R, Davey N, Steuber V. The effect of dendritic morphology on pattern recognition in the presence of active conductances Bmc Neuroscience. 12. DOI: 10.1186/1471-2202-12-S1-P315 |
0.748 |
|
| 2011 |
Safaryan K, Maex R, Adams R, Davey N, Steuber V. Non-specific LTD at parallel fibre - Purkinje cell synapses in cerebellar cortex provides robustness against local spatial noise during pattern recognition Bmc Neuroscience. 12. DOI: 10.1186/1471-2202-12-S1-P314 |
0.795 |
|
| 2010 |
Oros N, Steuber V, Davey N, Cañamero L, Adams R. Evolution of bistable dynamics in spiking neural controllers for agents performing olfactory attraction and aversion Bmc Neuroscience. 11. DOI: 10.1186/1471-2202-11-S1-P92 |
0.788 |
|
| 2010 |
de Sousa G, Maex R, Adams R, Davey N, Steuber V. Optimization of neuronal morphologies for pattern recognition Bmc Neuroscience. 11. DOI: 10.1186/1471-2202-11-S1-P80 |
0.715 |
|
| 2010 |
Safaryan K, Maex R, Adams R, Davey N, Steuber V. The effect of non-specific LTD on pattern recognition in cerebellar Purkinje cells Bmc Neuroscience. 11. DOI: 10.1186/1471-2202-11-S1-P118 |
0.796 |
|
| 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 |
0.664 |
|
| 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 |
0.603 |
|
| 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 |
0.79 |
|
| 2009 |
Luthman J, Adams R, Davey N, Maex R, Steuber V. Decoding of Purkinje cell pauses by deep cerebellar nucleus neurons Bmc Neuroscience. 10. DOI: 10.1186/1471-2202-10-S1-P105 |
0.757 |
|
| 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 |
0.315 |
|
| 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 |
0.791 |
|
| 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 |
0.711 |
|
| 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 |
0.718 |
|
| 2008 |
de Sousa G, Adams R, Davey N, Steuber V. Determinants of pattern recognition by cerebellar Purkinje cells Bmc Neuroscience. 9. DOI: 10.1186/1471-2202-9-S1-P67 |
0.365 |
|
| 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 |
0.361 |
|
| 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 |
0.504 |
|
| 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 |
0.693 |
|
| 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 |
0.763 |
|
| 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. |
0.757 |
|
| 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 |
0.588 |
|
| 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 |
0.59 |
|
| 2007 |
Gleeson P, Crook S, Steuber V, Silver RA. Using NeuroML and neuroConstruct to build neuronal network models for multiple simulators Bmc Neuroscience. 8. DOI: 10.1186/1471-2202-8-S2-P1 |
0.602 |
|
| 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 |
0.729 |
|
| 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 |
0.63 |
|
| 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 |
0.57 |
|
| 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. DOI: 10.1016/S0925-2312(02)00855-X |
0.59 |
|
| 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 |
0.592 |
|
| 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 |
0.603 |
|
| 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 |
0.628 |
|
| 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. |
0.522 |
|
| 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 DOI: 10.1111/J.1460-9568.1996.Tb01306.X |
0.38 |
|
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