neuroIC002
Recurrence and stochasticity for neuro-inspired computation
Grant period | 12 months |
Funding body | Exploratory Research Space der RWTH Aachen |
ERS | |
Identifier | G:(DE-82)EXS-SF-neuroIC002 |
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Book/Dissertation / PhD Thesis
Mechanics of deep neural networks beyond the Gaussian limit
Jülich : Forschungszentrum Jülich GmbH Zentralbibliothek, Verlag, Schriften des Forschungszentrums Jülich Reihe Information / Information 110, 165 pp. (2025) [10.34734/FZJ-2025-02100] = Dissertation, RWTH Aachen University, 2025
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Conference Presentation (After Call)
Response functions in residual networks as a measure for signal propagation
DPG Spring Meeting of the Condensed Matter Section, RegensburgRegensburg, Germany, 16 Mar 2025 - 21 Mar 2025
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Poster (After Call)
Elucidating the spatial complexity of brain circuits with the NEST:multiscale toolchain
ICNCE-2024, RWTH AachenAachen, RWTH Aachen, Germany, 3 Jun 2024 - 6 Jun 2024
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Poster (After Call)
Preserving network responses under dendritic simplification with the NEST::multiscale toolchain
CNS *2024, RWTH AachenNatal, RWTH Aachen, Brazil, 20 Jul 2024 - 24 Jul 2024
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Journal Article
NMDA-driven dendritic modulation enables multitask representation learning in hierarchical sensory processing pathways
Proceedings of the National Academy of Sciences of the United States of America 120(32), e2300558120 (2023) [10.1073/pnas.2300558120]
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Preprint
Optimal signal propagation in ResNets through residual scaling
arXiv (2023) [10.48550/ARXIV.2305.07715]
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Poster (After Call)
Optimal signal propagation in ResNets through residual scaling
Statistical physics & machine learning back together again, CargeseCargese, France, 31 Jul 2023 - 12 Aug 2023
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Talk (non-conference) (Invited)
Statistical Mechanics of Neural Networks
Seminar, Columbia University in the City of New YorkColumbia University in the City of New York, USA, 21 Jun 2023
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Poster (After Call)
Residual scaling enables optimal signal propagation in ResNets
Princeton Machine Learning Theory Summer School, Princeton UniversityPrinceton, Princeton University, USA, 26 Jun 2023 - 30 Jun 2023
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Talk (non-conference) (Invited)
A statistical perspective on learning of time series in neural networks
Seminar Talk, Machine Learning Seminar, AachenAachen, Germany, 13 Jul 2023 - 13 Jul 2023
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All known publications ...
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