Overview

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Overview#

  • SNN Training Algorithms:

  • A New Metric:

    • Optimal Cutoff Timestep (OCT): A optimal timestep that determines the minimal input processing duration for maintaining predictive reliability in SNNs. OCT is grounded in theoretical analysis and serves as a robust benchmark for assessing SNN models under different optimization algorithms.

  • Cutoff Approximation:

    • Timestep (Baseline): Cutoff triggered using fixed timestep.

    • Top-K: Cutoff triggered using the gap between the top-1 and top-2 output predictions at each timestep.

    • Others: Coming soon.