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Computational and Systems Neuroscience; INM-6
Transparent Deep Learning with Renormalized Flows
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Computational and Systems Neuroscience; INM-6
Transparent Deep Learning with Renormalized Flows
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1
Talk (non-conference)
A statistical perspective on learning of time series in neural networks
Nestler, Sandra
2023
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Bouss
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Peter
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Talk (non-conference)
Neural networks learning structure in temporal signals
Nestler, Sandra
2023
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Nonlinear dimensionality reduction with normalizing flows for analysis of electrophysiological recordings
Bouss
,
Peter
2023
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Peter
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Collection
Publications database
3
Open Access
1
Document Type
Talk (non-conference)
2
Poster
1
Name
Bouss, Peter
3
Fischer, Kirsten
3
Helias, Moritz
3
Merger, Claudia Lioba
3
Nestler, Sandra
3
Rene, Alexandre
3
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Boutaib, Youness
2
Dahmen, David
2
Gilson, Matthieu
2
Keup, Christian
2
Rauhut, Holger
2
Ball, Tonio
1
Bartolomaeus, Wiebke
1
Schirrmeister, Robin
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Research Program
Computational Principles
3
Emerging NC Architectures
3
Neuroscientific Foundations
3
Transparent Deep Learning with Renormalized Flows
Advanced Computing Architectures
2
GRK 2416: MultiSenses-MultiScales: Neue Ansätze zur Aufklärung neuronaler multisensorischer Integration
2
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Human Brain Project Specific Grant Agreement 3
2
Recurrence and stochasticity for neuro-inspired computation
2
Towards an integrated data science of complex natural systems
2
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Contributing Institute
Computational and Systems Neuroscience; IAS-6
3
Computational and Systems Neuroscience; INM-6
Jara-Institut Brain structure-function relationships; INM-10
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Scientific Report
2023
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