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Recurrence and stochasticity for neuro-inspired computation
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Transparent Deep Learning with Renormalized Flows
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Poster
Recurrence and stochasticity for neuro-inspired computation
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Transparent Deep Learning with Renormalized Flows
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Poster
Unfolding recurrence by Green's functions for optimized reservoir computing
Nestler, Sandra
2022
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Unfolding recurrence by Green’s functions for optimized reservoir computing
Nestler, Sandra
2021
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Dahmen, David
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Gilson, Matthieu
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Helias, Moritz
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Keup, Christian
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Nestler, Sandra
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Rauhut, Holger
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Advanced Computing Architectures
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Human Brain Project Specific Grant Agreement 3
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Neuroscientific Foundations
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Recurrence and stochasticity for neuro-inspired computation
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Towards an integrated data science of complex natural systems
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Transparent Deep Learning with Renormalized Flows
Theory of multi-scale neuronal networks
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Computational and Systems Neuroscience; IAS-6
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Computational and Systems Neuroscience; INM-6
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Jara-Institut Brain structure-function relationships; INM-10
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