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SimLab Neuroscience
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Supercomputing and Modelling for the Human Brain
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SimLab Neuroscience
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Supercomputing and Modelling for the Human Brain
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Ensemble Kalman Filter Optimizing Deep Neural Networks: An Alternative Approach to Non-performing Gradient Descent
Yegenoglu, Alper
2020
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Modeling the I/O behavior of the NEST simulator using a proxy
Schumann, Till
2015
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Hybrid parallelization of a seeded region growing segmentation of brain images for a GPU cluster
Lührs, Anna
2014
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Effect of Alzheimer's disease on the dynamical and computational characteristics of recurrent neural networks
Bachmann, Claudia
2013
14 (2013) Suppl 1, S. P282 -
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Contribution to a conference proceedings
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Bachmann, Claudia
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Bamberger, Philipp
1
Diaz, Sandra
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Eppler, Jochen Martin
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Frings, Wolfgang
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Krajsek, Kai
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Kunkel, Susanne
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Lührs, Anna
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Peyser, Alexander
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Computational Science and Mathematical Methods
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SimLab Neuroscience
Supercomputing and Modelling for the Human Brain
Brain-inspired multiscale computation in neuromorphic hybrid systems
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Center for Simulation and Data Science (CSD) - School for Simulation and Data Science (SSD)
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Helmholtz Alliance on Systems Biology
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Helmholtz Analytics Framework
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Signalling Pathways and Mechanisms in the Nervous System
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Computational and Systems Neuroscience; IAS-6
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