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Neuroscientific Foundations
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Recurrence and stochasticity for neuro-inspired computation
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Neuroscientific Foundations
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Recurrence and stochasticity for neuro-inspired computation
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Talk (non-conference)
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1
Talk (non-conference)
Neural networks learning structure in temporal signals
Nestler, Sandra
2023
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Talk (non-conference)
A statistical perspective on learning of time series in neural networks
Nestler, Sandra
2023
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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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Unfolding recurrence by Green’s functions for optimized reservoir computing
Nestler, Sandra
2021
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Publications database
6
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2
Document Type
Talk (non-conference)
4
Poster
2
Name
Helias, Moritz
6
Dahmen, David
5
Keup, Christian
5
Nestler, Sandra
5
Gilson, Matthieu
4
Rauhut, Holger
4
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Boutaib, Youness
3
Bartolomaeus, Wiebke
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Bouss, Peter
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Fischer, Kirsten
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Merger, Claudia Lioba
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Rene, Alexandre
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van Meegen, Alexander
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Ball, Tonio
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Schirrmeister, Robin
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Research Program
Advanced Computing Architectures
6
Computational Principles
6
Emerging NC Architectures
6
Human Brain Project Specific Grant Agreement 3
6
Neuroscientific Foundations
Recurrence and stochasticity for neuro-inspired computation
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Towards an integrated data science of complex natural systems
6
Transparent Deep Learning with Renormalized Flows
6
Theory of multi-scale neuronal networks
3
Human Brain Project Specific Grant Agreement 2
2
Doktorand ohne besondere Förderung
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GRK 2416: MultiSenses-MultiScales: Neue Ansätze zur Aufklärung neuronaler multisensorischer Integration
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Theory, modelling and simulation
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Contributing Institute
Computational and Systems Neuroscience; IAS-6
6
Computational and Systems Neuroscience; INM-6
6
Jara-Institut Brain structure-function relationships; INM-10
6
Scientific Report
2021
3
2023
2
2022
1
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