"Hardware calibrated learning to compensate heterogeneity in analog ..."

Filippo Moro et al. (2022)

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DOI: 10.1109/ISCAS48785.2022.9937820

access: closed

type: Conference or Workshop Paper

metadata version: 2024-04-10

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Filippo Moro, Eduardo Esmanhotto, Tifenn Hirtzlin, Niccolo Castellani, Ahmed Trabelsi, Thomas Dalgaty, Gabriel Molas, François Andrieu, Stefano Brivio, Sabina Spiga, Giacomo Indiveri, Melika Payvand, Elisa Vianello:
Hardware calibrated learning to compensate heterogeneity in analog RRAM-based Spiking Neural Networks. ISCAS 2022: 380-383

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