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Cited by in F6Publishing
For: Delacour C, Todri-Sanial A. Mapping Hebbian Learning Rules to Coupling Resistances for Oscillatory Neural Networks. Front Neurosci 2021;15:694549. [PMID: 34819831 DOI: 10.3389/fnins.2021.694549] [Cited by in Crossref: 5] [Cited by in F6Publishing: 5] [Article Influence: 2.5] [Reference Citation Analysis]
Number Citing Articles
1 Pattanayak M, Hoque MNF, Ho Y, Li W, Fan Z, Bernussi AA. Ultrahigh tunability of resistive switching in strongly correlated functional oxide. Applied Materials Today 2023;30:101642. [DOI: 10.1016/j.apmt.2022.101642] [Reference Citation Analysis]
2 Rakitin V, Rusakov S, Ulyanov S. The Coupled Reactance-Less Memristor Based Relaxation Oscillators for Binary Oscillator Networks. Micromachines (Basel) 2023;14. [PMID: 36838064 DOI: 10.3390/mi14020365] [Reference Citation Analysis]
3 Abernot M, Amara H, Gil T, Todri-sanial A. Oscillatory Neural Network for Edge Computing: A Mobile Robot Obstacle Avoidance Application. 2022 IEEE International Conference on Metrology for Extended Reality, Artificial Intelligence and Neural Engineering (MetroXRAINE) 2022. [DOI: 10.1109/metroxraine54828.2022.9967581] [Reference Citation Analysis]
4 Abernot M, Gil T, Todri-sanial A. On-Chip Learning with a 15-neuron Digital Oscillatory Neural Network Implemented on ZYNQ Processor. Proceedings of the International Conference on Neuromorphic Systems 2022 2022. [DOI: 10.1145/3546790.3546822] [Reference Citation Analysis]
5 Carapezzi S, Boschetto G, Karg S, Todri-sanial A. Electro-thermal simulations of beyond-CMOS vanadium dioxide devices and oscillators. MRS Communications. [DOI: 10.1557/s43579-022-00196-3] [Cited by in F6Publishing: 1] [Reference Citation Analysis]
6 Abernot M, Gil T, Todri-sanial A. Oscillatory Neural Network as Hetero-Associative Memory for Image Edge Detection. Neuro-Inspired Computational Elements Conference 2022. [DOI: 10.1145/3517343.3517348] [Reference Citation Analysis]
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