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arXiv — cs.AI preprintsInternational9 October 2026

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

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arXiv:2610.11456v1 Announce Type: new Abstract: Two-photon calcium imaging is a standard tool for recording large neural populations in vivo, yet inferring spikes accurately across the growing diversity of calcium indicators remains an open problem. Existing supervised methods achieve reasonable in-domain accuracy but generalize poorly to unseen indicators, because different indicators induce distinct fluorescence kinetics and signal statistics while existing architectures remain relatively simple generic temporal regressors without dynamics-matched inductive bias. We propose SpikeSSL, a unive
— arXiv — cs.AI preprints

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