Marc-Oliver Gewaltig

Affiliations: 
Honda Research Institute, Mountain View, CA, United States 
Area:
Neural simulation
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"Marc-Oliver Gewaltig"
Mean distance: 14.57 (cluster 17)
 
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Publications

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Schmuker M, Kupper R, Aertsen A, et al. (2021) Feed-forward and noise-tolerant detection of feature homogeneity in spiking networks with a latency code. Biological Cybernetics. 115: 161-176
Wybo WA, Boccalini D, Torben-Nielsen B, et al. (2015) A Sparse Reformulation of the Green's Function Formalism Allows Efficient Simulations of Morphological Neuron Models. Neural Computation. 1-36
Muller E, Bednar JA, Diesmann M, et al. (2015) Python in neuroscience. Frontiers in Neuroinformatics. 9: 11
Kriener B, Enger H, Tetzlaff T, et al. (2014) Dynamics of self-sustained asynchronous-irregular activity in random networks of spiking neurons with strong synapses. Frontiers in Computational Neuroscience. 8: 136
Gewaltig MO, Cannon R. (2014) Current practice in software development for computational neuroscience and how to improve it. Plos Computational Biology. 10: e1003376
Knoblauch A, Hauser F, Gewaltig MO, et al. (2012) Does spike-timing-dependent synaptic plasticity couple or decouple neurons firing in synchrony? Frontiers in Computational Neuroscience. 6: 55
Gewaltig MO, Morrison A, Plesser HE. (2012) NEST by example: An introduction to the neural simulation tool NEST Computational Systems Neurobiology. 533-558
Probst D, Maass W, Markram H, et al. (2012) Liquid computing in a simplified model of cortical layer IV: Learning to balance a ball Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 7552: 209-216
Schrader S, Gewaltig MO, Körner U, et al. (2009) 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
Nordlie E, Gewaltig MO, Plesser HE. (2009) Towards reproducible descriptions of neuronal network models. Plos Computational Biology. 5: e1000456
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