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Computational and Systems Neuroscience; IAS-6
Preprint
Recurrence and stochasticity for neuro-inspired computation
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Computational and Systems Neuroscience; IAS-6
Preprint
Recurrence and stochasticity for neuro-inspired computation
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1
Preprint
Optimal signal propagation in ResNets through residual scaling
Fischer, Kirsten
2023
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Decomposing neural networks as mappings of correlation functions
Fischer, Kirsten
2022
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Unfolding recurrence by Green's functions for optimized reservoir computing
Nestler, Sandra
2020
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Dahmen, David
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Helias, Moritz
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Fischer, Kirsten
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Keup, Christian
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Gilson, Matthieu
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Nestler, Sandra
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Advanced Computing Architectures
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Recurrence and stochasticity for neuro-inspired computation
Transparent Deep Learning with Renormalized Flows
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Computational Principles
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Emerging NC Architectures
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Theory of multi-scale neuronal networks
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Doktorand ohne besondere Förderung
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GRK 2416: MultiSenses-MultiScales: Neue Ansätze zur Aufklärung neuronaler multisensorischer Integration
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Human Brain Project Specific Grant Agreement 3
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Towards an integrated data science of complex natural systems
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Computational and Systems Neuroscience; IAS-6
Computational and Systems Neuroscience; INM-6
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Jara-Institut Brain structure-function relationships; INM-10
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