{
  "$type": "site.standard.document",
  "bskyPostRef": {
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    "uri": "at://did:plc:pgryn3ephfd2xgft23qokfzt/app.bsky.feed.post/3mivuan5npq42"
  },
  "path": "/t/snn-credit-assignment-problem-is-not-unsolved-anymore/175042#post_1",
  "publishedAt": "2026-04-07T09:19:59.000Z",
  "site": "https://discuss.huggingface.co",
  "textContent": "The credit assignment problem in Spiking Neural Networks (SNNs) has been treated as unsolved for years due to reliance on BPTT and unstable training.\n\nI’ve been working on a **data-driven, event-based approach** that enables effective credit assignment without full BPTT.\n\nEarly results show:\n\n  * Stable training in deeper SNNs\n\n  * Better temporal credit propagation\n\n  * Lower compute overhead\n\n\n\n\nThis is backed by **real experimental results** , and I’m preparing a research paper.\n\nI believe this problem is no longer “unsolved” we’re closer to practical SNN learning than people think.\n\n**Looking for collaborators and feedback** (SNN, neuromorphic, biologically plausible learning).",
  "title": "SNN Credit Assignment Problem is NOT Unsolved Anymore"
}