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Biologically Inspired Dynamics Enhance Deep Learning.

, , и . ERCIM News, (2021)

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Angeliki Pantazi

Eleni Pantazi

Angeliki Valsamidou

Angeliki Pappa

Angeliki Maraka

 

Другие публикации лиц с тем же именем

Nanopositioning for probe storage., , , , , и . ACC, стр. 4181-4186. IEEE, (2005)Biologically Inspired Dynamics Enhance Deep Learning., , и . ERCIM News, (2021)Neuromorphic system with phase-change synapses for pattern learning and feature extraction., , , и . IJCNN, стр. 3724-3732. IEEE, (2017)Feature Learning Using Synaptic Competition in a Dynamically-Sized Neuromorphic Architecture., , , и . ICRC, стр. 1-7. IEEE, (2017)Learning-to-learn enables rapid learning with phase-change memory-based in-memory computing., , , , , , , , , и . CoRR, (2024)Nanoscale track-following for tape storage., , , , , и . ACC, стр. 2837-2843. IEEE, (2015)Optimal scan trajectories for high-speed scanning probe microscopy., , , и . ACC, стр. 3791-3796. IEEE, (2012)Two-sensor-based H∞ control for nanopositioning in probe storage., , , и . CDC/ECC, стр. 1174-1179. IEEE, (2005)Dynamic event-based optical identification and communication., , , , и . Frontiers Neurorobotics, (2024)Biologically-inspired training of spiking recurrent neural networks with neuromorphic hardware., , , , , , , и . AICAS, стр. 218-221. IEEE, (2022)