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Fabrizio Damicelli
Fabrizio Damicelli
Institute of Computational Neuroscience, UKE, Hamburg, Germany
Verified email at uke.de - Homepage
Title
Cited by
Cited by
Year
Bio-instantiated recurrent neural networks: Integrating neurobiology-based network topology in artificial networks
A Goulas, F Damicelli, CC Hilgetag
Neural Networks 142, 608-618, 2021
392021
Brain connectivity meets reservoir computing
F Damicelli, CC Hilgetag, A Goulas
PLOS Computational Biology 18 (11), e1010639, 2022
372022
Topological reinforcement as a principle of modularity emergence in brain networks
F Damicelli, CC Hilgetag, MT Hütt, A Messé
Network Neuroscience 3 (2), 589-605, 2019
232019
Modular topology emerges from plasticity in a minimalistic excitable network model
F Damicelli, CC Hilgetag, MT Hütt, A Messé
Chaos: An Interdisciplinary Journal of Nonlinear Science 27 (4), 2017
142017
Spatio-temporal feature learning with reservoir computing for T-cell segmentation in live-cell fluorescence microscopy
F Hadaeghi, BP Diercks, D Schetelig, F Damicelli, IMA Wolf, R Werner
Scientific reports 11 (1), 8233, 2021
52021
Bio-instantiated recurrent neural networks
A Goulas, F Damicelli, CC Hilgetag
bioRxiv, 2021.01. 22.427744, 2021
32021
Characteristic Topology of Brain Networks: Emergence through plasticity and computational aspects
F Damicelli
Staats-und Universitätsbibliothek Hamburg Carl von Ossietzky, 2021
2021
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