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FidLIF: Parallel Training of High-Fidelity Spiking Neurons with Exact BPTT
Although spiking neural networks (SNNs) show promise in energy-efficient computing through event-driven computation and stateful temporal processing, their recurrent membrane dynamics render their training inherently sequential and inefficient for long sequences. Existing methods achieve full-sequen
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