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Purely Spintronic Leaky Integrate-and-Fire Neurons.

, , , , , , , и . ISCAS, стр. 1189-1193. IEEE, (2022)

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Christopher H Müller

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Local learning with highly analog memory devices. (Apprentissage local avec des dispositifs de mémoire hautement analogiques).. University of Paris-Saclay, France, (2018)Shape-based Magnetic Domain Wall Drift for an Artificial Spintronic Leaky Integrate-and-Fire Neuron., , , , , , , , , и . CoRR, (2019)Contrasting Advantages of Learning With Random Weights and Backpropagation in Non-Volatile Memory Neural Networks., , , , , , и . IEEE Access, (2019)Multiscaled Simulation Methodology for Neuro-Inspired Circuits Demonstrated with an Organic Memristor., , , , , , , и . IEEE Trans. Multi Scale Comput. Syst., 4 (4): 822-832 (2018)Shape-Dependent Multi-Weight Magnetic Artificial Synapses for Neuromorphic Computing., , , , , , , , , и 1 other автор(ы). CoRR, (2021)Controllable reset behavior in domain wall-magnetic tunnel junction artificial neurons for task-adaptable computation., , , , , и . CoRR, (2021)Intrinsic Lateral Inhibition Facilitates Winner-Take-All in Domain Wall Racetrack Arrays for Neuromorphic Computing., , , , , , и . ISCAS, стр. 316-320. IEEE, (2022)Unsupervised Competitive Hardware Learning Rule for Spintronic Clustering Architecture., , , , , , , и . CoRR, (2020)An Accurate, Error-Tolerant, and Energy-Efficient Neural Network Inference Engine Based on SONOS Analog Memory., , , , , , , , , и 2 other автор(ы). IEEE Trans. Circuits Syst. I Regul. Pap., 69 (4): 1480-1493 (2022)Magnetic skyrmions and domain walls for logical and neuromorphic computing., , , , , , , , , и 3 other автор(ы). Neuromorph. Comput. Eng., 3 (2): 22003 (июня 2023)