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arXiv AI By Chenghao Yue, Siming Xing, Shuran Liu, Angran Li, Yuanlong Zhang

SpikeSSL: A Universal Spike Inference Framework with Dynamics-Informed State-Space Layers

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SpikeSSL is a universal spike inference framework that uses bidirectional IIR state‑space layers inspired by calcium dynamics as its temporal backbone. It incorporates a multi‑modal conditioning encoder to adapt to different calcium indicators, sampling rates, and trace statistics, and provides per‑frame uncertainty estimates. On a benchmark of 33 public datasets, SpikeSSL achieves state‑of‑the‑art performance both in‑domain and in zero‑shot leave‑one‑indicator‑out settings, and a biophysical simulation pipeline further improves cross‑indicator generalization.

Machine-generated by The Flow from the publisher's headline and feed description — not written or checked by a human. The full article lives at arXiv AI.

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