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In addition, the authors have included an extensive model architecture and training pipeline framework for experimenting with different SNNs.
It would be great to incorporate examples or documentation for NSA in NeuroBench, so that users can bring any models supported by NeuroBench to try on the NSA benchmarks.
Going the other direction as well, it would be nice to see the NeuroBench library used for benchmarking NSA's PyTorch-based networks, using the general interfaces of activation and connection hooks.
Activity
feat(examples): add NSA HAR LIF baseline (issue NeuroBench#264)