574
Theory, modelling and simulation Theorie, Modellierung und Simulation
| Grant period | 2015 - 2020 |
| Funding body | Helmholtz Gemeinschaft Deutscher Forschungszentren |
| Categories | Leistungskategorie I ; Topic |
| Identifier | G:(DE-HGF)POF3-574 |
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Conference Presentation (After Call)
Bio-inspired sequence learning mechanisms and their implementation in a memristive neuromorphic hardware
Neuromorphic, Natural and Physical Computing, NNPC, HannoverHannover, Germany, 25 Oct 2023 - 27 Oct 2023
(2023) [10.34734/FZJ-2024-01347]
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Conference Presentation (After Call)
Probabilistic sequential memory recall in spiking neuronal networks
OCNS, LeipzigLeipzig, Germany, 15 Jul 2023 - 19 Jul 2023
(2023)
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Journal Article
Sequence learning in a spiking neuronal network with memristive synapses
Neuromorphic computing and engineering 3, 034014 (2023) [10.1088/2634-4386/acf1c4]
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Journal Article
Coherent noise enables probabilistic sequence replay in spiking neuronal networks
PLoS Computational Biology 19(5), 5 (2023) [10.1371/journal.pcbi.1010989]
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Book/Dissertation / PhD Thesis
A brain inspired sequence learning algorithm and foundations of a memristive hardware implementation
Jülich : Forschungszentrum Jülich GmbH Zentralbibliothek, Verlag, Schriften des Forschungszentrums Jülich Reihe Information / Information 95, xii, 149 (2023) = Dissertation, RWTH Aachen University, 2023
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Preprint
Sequence learning in a spiking neuronal network with memristive synapses
ArXiv (2022) [10.48550/arXiv.2211.16592]
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Journal Article
Learning and replaying spatiotemporal sequences: A replication study
Frontiers in integrative neuroscience 16, 113 (2022) [10.3389/fnint.2022.974177]
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Award
Best Poster Content Prize
Fundació Scito (2022)
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Preprint
Coherent noise enables probabilistic sequence replay in spiking neuronal networks
arXiv (2022) [10.48550/arXiv.2206.10538]
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Journal Article
Sequence learning, prediction, and replay in networks of spiking neurons
PLoS Computational Biology 18, e1010233 (2022) [10.1371/journal.pcbi.1010233]
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All known publications ...
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