| Year |
Citation |
Score |
| 2021 |
Schmuker M, Kupper R, Aertsen A, Wachtler T, Gewaltig MO. Feed-forward and noise-tolerant detection of feature homogeneity in spiking networks with a latency code. Biological Cybernetics. 115: 161-176. PMID 33787967 DOI: 10.1007/s00422-021-00866-w |
0.741 |
|
| 2020 |
Allegra Mascaro AL, Falotico E, Petkoski S, Pasquini M, Vannucci L, Tort-Colet N, Conti E, Resta F, Spalletti C, Ramalingasetty ST, von Arnim A, Formento E, Angelidis E, Blixhavn CH, Leergaard TB, ... ... Gewaltig MO, et al. Experimental and Computational Study on Motor Control and Recovery After Stroke: Toward a Constructive Loop Between Experimental and Virtual Embodied Neuroscience. Frontiers in Systems Neuroscience. 14: 31. PMID 32733210 DOI: 10.3389/Fnsys.2020.00031 |
0.344 |
|
| 2018 |
Erö C, Gewaltig MO, Keller D, Markram H. A Cell Atlas for the Mouse Brain. Frontiers in Neuroinformatics. 12: 84. PMID 30546301 DOI: 10.3389/Fninf.2018.00084 |
0.306 |
|
| 2017 |
Falotico E, Vannucci L, Ambrosano A, Albanese U, Ulbrich S, Vasquez Tieck JC, Hinkel G, Kaiser J, Peric I, Denninger O, Cauli N, Kirtay M, Roennau A, Klinker G, Von Arnim A, ... ... Gewaltig MO, et al. Connecting Artificial Brains to Robots in a Comprehensive Simulation Framework: The Neurorobotics Platform. Frontiers in Neurorobotics. 11: 2. PMID 28179882 DOI: 10.3389/Fnbot.2017.00002 |
0.305 |
|
| 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, ... ... Gewaltig M, et al. 26th Annual Computational Neuroscience Meeting (CNS*2017): Part 3 Bmc Neuroscience. 18. DOI: 10.1186/S12868-017-0372-1 |
0.719 |
|
| 2016 |
Hinkel G, Groenda H, Krach S, Vannucci L, Denninger O, Cauli N, Ulbrich S, Roennau A, Falotico E, Gewaltig M, Knoll A, Dillmann R, Laschi C, Reussner R. A Framework for Coupled Simulations of Robots and Spiking Neuronal Networks Journal of Intelligent & Robotic Systems. 85: 71-91. DOI: 10.1007/S10846-016-0412-6 |
0.4 |
|
| 2015 |
Muller E, Bednar JA, Diesmann M, Gewaltig MO, Hines M, Davison AP. Python in neuroscience. Frontiers in Neuroinformatics. 9: 11. PMID 25926788 DOI: 10.3389/Fninf.2015.00011 |
0.608 |
|
| 2014 |
Kriener B, Enger H, Tetzlaff T, Plesser HE, Gewaltig MO, Einevoll GT. Dynamics of self-sustained asynchronous-irregular activity in random networks of spiking neurons with strong synapses. Frontiers in Computational Neuroscience. 8: 136. PMID 25400575 DOI: 10.3389/Fncom.2014.00136 |
0.773 |
|
| 2013 |
Kriener B, Enger H, Tetzlaff T, Plesser HE, Gewaltig M, Einevoll GT. Dynamics and lifetime of persistent activity states in random networks of spiking neurons with strong synapses Bmc Neuroscience. 14. DOI: 10.1186/1471-2202-14-S1-P121 |
0.799 |
|
| 2012 |
Knoblauch A, Hauser F, Gewaltig MO, Körner E, Palm G. Does spike-timing-dependent synaptic plasticity couple or decouple neurons firing in synchrony? Frontiers in Computational Neuroscience. 6: 55. PMID 22936909 DOI: 10.3389/Fncom.2012.00055 |
0.509 |
|
| 2011 |
Enger H, Tetzlaff T, Kriener B, Gewaltig M, Einevoll GT. Dynamics of self-sustained activity in random networks with strong synapses Bmc Neuroscience. 12. DOI: 10.1186/1471-2202-12-S1-P89 |
0.776 |
|
| 2009 |
Schrader S, Gewaltig MO, Körner U, Körner E. Cortext: a columnar model of bottom-up and top-down processing in the neocortex. Neural Networks : the Official Journal of the International Neural Network Society. 22: 1055-70. PMID 19713075 DOI: 10.1016/j.neunet.2009.07.021 |
0.394 |
|
| 2009 |
Nordlie E, Gewaltig MO, Plesser HE. Towards reproducible descriptions of neuronal network models. Plos Computational Biology. 5: e1000456. PMID 19662159 DOI: 10.1371/journal.pcbi.1000456 |
0.513 |
|
| 2008 |
Eppler JM, Helias M, Muller E, Diesmann M, Gewaltig MO. PyNEST: A Convenient Interface to the NEST Simulator. Frontiers in Neuroinformatics. 2: 12. PMID 19198667 DOI: 10.3389/Neuro.11.012.2008 |
0.772 |
|
| 2008 |
Helias M, Rotter S, Gewaltig MO, Diesmann M. Structural plasticity controlled by calcium based correlation detection. helias@bccn.uni-freiburg.de. Frontiers in Computational Neuroscience. 2: 7. PMID 19129936 DOI: 10.3389/Neuro.10.007.2008 |
0.744 |
|
| 2007 |
Cannon RC, Gewaltig MO, Gleeson P, Bhalla US, Cornelis H, Hines ML, Howell FW, Muller E, Stiles JR, Wils S, De Schutter E. Interoperability of neuroscience modeling software: current status and future directions. Neuroinformatics. 5: 127-38. PMID 17873374 DOI: 10.1007/S12021-007-0004-5 |
0.337 |
|
| 2007 |
Gewaltig M, Diesmann M. NEST (NEural Simulation Tool) Scholarpedia. 2: 1430. DOI: 10.4249/Scholarpedia.1430 |
0.687 |
|
| 2007 |
Knoblauch A, Sommer FT, Gewaltig M, Kupper R, Körner U, Körner E. A model for structural plasticity in neocortical associative networks trained by the hippocampus Bmc Neuroscience. 8. DOI: 10.1186/1471-2202-8-S2-S14 |
0.432 |
|
| 2007 |
Kupper R, Knoblauch A, Körner U, Körner E, Gewaltig M. Recollection and imagination in a functional model of visual cortex Bmc Neuroscience. 8. DOI: 10.1186/1471-2202-8-S2-S10 |
0.327 |
|
| 2007 |
Helias M, Rotter S, Gewaltig M, Diesmann M. A model for correlation detection based on Ca2+concentration in spines Bmc Neuroscience. 8. DOI: 10.1186/1471-2202-8-S2-P192 |
0.752 |
|
| 2007 |
Knoblauch A, Kupper R, Gewaltig MO, Körner U, Körner E. A cell assembly based model for the cortical microcircuitry Neurocomputing. 70: 1838-1842. DOI: 10.1016/j.neucom.2006.10.092 |
0.378 |
|
| 2007 |
Kupper R, Knoblauch A, Gewaltig MO, Körner U, Körner E. Simulations of signal flow in a functional model of the cortical column Neurocomputing. 70: 1711-1716. DOI: 10.1016/j.neucom.2006.10.085 |
0.338 |
|
| 2007 |
Plesser HE, Eppler JM, Morrison A, Diesmann M, Gewaltig MO. Efficient parallel simulation of large-scale neuronal networks on clusters of multiprocessor computers Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 4641: 672-681. |
0.778 |
|
| 2007 |
Eppler JM, Plesser HE, Morrison A, Diesmann M, Gewaltig MO. Multithreaded and distributed simulation of large biological neuronal networks Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 4757: 391-392. |
0.792 |
|
| 2005 |
Kupper R, Gewaltig MO, Körner U, Körner E. Spike-latency codes and the effect of saccades Neurocomputing. 65: 189-194. DOI: 10.1016/j.neucom.2004.10.006 |
0.391 |
|
| 2002 |
Gewaltig MO, Richter A, Kupper R. BLISS: Towards the simulation of brain-like systems Neurocomputing. 44: 805-810. DOI: 10.1016/S0925-2312(02)00476-9 |
0.522 |
|
| 2001 |
Gewaltig MO, Diesmann M, Aertsen A. Propagation of cortical synfire activity: survival probability in single trials and stability in the mean. Neural Networks : the Official Journal of the International Neural Network Society. 14: 657-73. PMID 11665761 DOI: 10.1016/S0893-6080(01)00070-3 |
0.794 |
|
| 2001 |
Aertsen A, Diesmann M, Gewaltig MO, Grün S, Rotter S. Neural dynamics in cortical networks--precision of joint-spiking events. Novartis Foundation Symposium. 239: 193-204; discussion . PMID 11529312 DOI: 10.1002/0470846674.Ch15 |
0.799 |
|
| 2001 |
Gewaltig MO, Diesmann M, Aertsen A. Cortical synfire-activity: Configuration space and survival probability Neurocomputing. 38: 621-626. DOI: 10.1016/S0925-2312(01)00454-4 |
0.771 |
|
| 2001 |
Diesmann M, Gewaltig MO, Rotter S, Aertsen A. State space analysis of synchronous spiking in cortical neural networks Neurocomputing. 38: 565-571. DOI: 10.1016/S0925-2312(01)00409-X |
0.814 |
|
| 1999 |
Diesmann M, Gewaltig MO, Aertsen A. Stable propagation of synchronous spiking in cortical neural networks. Nature. 402: 529-33. PMID 10591212 DOI: 10.1038/990101 |
0.804 |
|
| 1996 |
Aertsen A, Diesmann M, Gewaltig MO. Propagation of synchronous spiking activity in feedforward neural networks. Journal of Physiology, Paris. 90: 243-7. PMID 9116676 DOI: 10.1016/S0928-4257(97)81432-5 |
0.783 |
|
| 1970 |
Gewaltig M. NEST 2: A Parallel Simulator for Large Neuronal Networks Frontiers in Neuroinformatics. DOI: 10.3389/Conf.Neuro.11.2009.08.045 |
0.573 |
|
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