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Domain Wall Leaky Integrate-and-Fire Neurons with Shape-Based Configurable Activation Functions.

, , , , , , , , , и . CoRR, (2020)

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Christopher H Müller

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Process Variation Model and Analysis for Domain Wall-Magnetic Tunnel Junction Logic., , , , , , и . ISCAS, стр. 1-5. IEEE, (2020)Analog Neural Network Inference Accuracy in One-Selector One-Resistor Memory Arrays., , , , , , , , и . ICRC, стр. 7-12. IEEE, (2022)SHIFFT: A Scalable Hybrid In-Memory Computing FFT Accelerator., , , , , , , и . ISVLSI, стр. 130-135. IEEE, (2024)Shape-based Magnetic Domain Wall Drift for an Artificial Spintronic Leaky Integrate-and-Fire Neuron., , , , , , , , , и . CoRR, (2019)Local learning with highly analog memory devices. (Apprentissage local avec des dispositifs de mémoire hautement analogiques).. University of Paris-Saclay, France, (2018)Contrasting Advantages of Learning With Random Weights and Backpropagation in Non-Volatile Memory Neural Networks., , , , , , и . IEEE Access, (2019)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)Purely Spintronic Leaky Integrate-and-Fire Neurons., , , , , , , и . ISCAS, стр. 1189-1193. IEEE, (2022)CMOS-Free Magnetic Domain Wall Leaky Integrate-and-Fire Neurons with Intrinsic Lateral Inhibition., , , , , , , , и . ISCAS, стр. 1-5. IEEE, (2020)