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Dependable digital spiking neuromorphic hardware

Spiking neural networks (SNNs) are a biologically inspired class of machine learning models in which information is encoded and processed as sparse, asynchronous spike events distributed over time. When mapped onto digital neuromorphic hardware, these networks perform event-driven computation at very low power, making...

Suman Kumar, Nagarajan Kandasamy, Anup Das · 0 citations

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