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Model- and Layer-Level Closed-Loop Forecasting with SSM-Based Spiking Neural Networks
Deep State-Space Models (Deep SSMs) have shown promising performance and computational benefits in processing of time-series data with complex temporal dependencies. Spiking neural networks (SNNs) constitute a biologically inspired class of deep SSMs, where computing blocks communicate through spike
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