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Research data for 'Noise-Aware Training of Neuromorphic Dynamic Device Networks'.

dataset
posted on 2025-08-07, 14:24 authored by Ian VidamourIan Vidamour, Luca ManneschiLuca Manneschi, Matthew EllisMatthew Ellis
<p dir="ltr">Data associated with the publication of 'Noise-aware training of neuromorphic dynamic device networks.' For further context on the data, refer to the publication in Nature Communications, 2025. This data constitutes processed experimental data used in figures, as well as the scripts used to generate any simulated data that is present in the manuscript. For raw experimental data, contact I.Vidamour@sheffield.ac.uk, as the raw data is on the order of 100s of GB and thus stored locally. A readme file contains further information on each of the zipped folders in the repository.</p><p><br></p>

Funding

Magnetic Architectures for Reservoir Computing Hardware (MARCH)

Engineering and Physical Sciences Research Council

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MARCH: Magnetic Architectures for Reservoir Computing Hardware

Engineering and Physical Sciences Research Council

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Artificial Spin Ice for Rewritable Magnonics

Engineering and Physical Sciences Research Council

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DTP 2224 University College London

Engineering and Physical Sciences Research Council

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From Stochasticity to Functionality: Probabilistic Computation with Magnetic Nanowires

Engineering and Physical Sciences Research Council

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Harnessing the Emergent Properties of Nanomagnet Ensembles for Massively Parallel Data Analysis

European Commission

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