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Astromorphic Self-Repair of Neuromorphic Hardware Systems

AAAI 2023 · Architectures and efficiency › Spiking networks · approach: Bio-inspired spiking neuron models · 13 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
Use local astrocyte-inspired A-STDP instead of global A-STDPSTDP-trained SNN · MNIST with stuck-at faultsaccuracyHelped
Use local astrocyte-inspired A-STDP instead of STDPSTDP-trained SNN · MNIST with stuck-at faultsaccuracyHelped
Use local astrocyte-inspired A-STDP instead of global A-STDPSTDP-trained SNN · Fashion MNIST with stuck-at faultsaccuracyHelped
Use local astrocyte-inspired A-STDP instead of STDPSTDP-trained SNN · Fashion MNIST with stuck-at faultsaccuracyMixed
Use local A-STDP rather than global A-STDPSTDP-trained SNN · Fashion MNISTtraining samples to best accuracyHelped
Increase the A-STDP (local) self-repair time constant τ (ablation)A-STDP (local) · MNIST validationsamples to optimal accuracyHurt

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