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Helias, Moritz
Neuroscientific Foundations
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Theory of multi-scale neuronal networks
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Transparent Deep Learning with Renormalized Flows
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Helias, Moritz
Neuroscientific Foundations
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Theory of multi-scale neuronal networks
AND
Transparent Deep Learning with Renormalized Flows
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Preprint
Phase Space Analysis of Chaotic Neural Networks
Stubenrauch, Jakob
2022
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Unfolding recurrence by Green's functions for optimized reservoir computing
Nestler, Sandra
2022
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Statistical physics approach to neuronal dynamics
van Meegen, Alexander
2021
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Fluctuations, correlations, chaos: dynamics and computation in recurrent networks
Helias, Moritz
2021
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Talk (non-conference)
2
Poster
1
Preprint
1
Name
Helias, Moritz
Keup, Christian
3
van Meegen, Alexander
3
Dahmen, David
2
Nestler, Sandra
2
Bartolomaeus, Wiebke
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Boutaib, Youness
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Gilson, Matthieu
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Kurth, Anno
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Rauhut, Holger
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Stubenrauch, Jakob
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Research Program
Advanced Computing Architectures
4
Human Brain Project Specific Grant Agreement 3
4
Neuroscientific Foundations
Theory of multi-scale neuronal networks
Towards an integrated data science of complex natural systems
4
Transparent Deep Learning with Renormalized Flows
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Computational Principles
3
Emerging NC Architectures
3
Recurrence and stochasticity for neuro-inspired computation
3
Doktorand ohne besondere Förderung
2
Human Brain Project Specific Grant Agreement 2
2
GRK 2416: MultiSenses-MultiScales: Neue Ansätze zur Aufklärung neuronaler multisensorischer Integration
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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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Scientific Report
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2022
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