Extended Data Fig. 7. Comparison with model-based algorithms, extension of Fig. 4a.

Example predictions from the deep-learning based method (CASCADE) and five model-based algorithms (MLSpike, CaImAn, Peeling, Suite2p, Jewell&Witten) of a ΔF/F recording. Inferred spike rates are in black, ground truth spike rates in orange. r indicates correlation of predictions with ground truth. Events that are not detected across all algorithms (false negatives) are labeled with red arrowheads. Compared to the example in Fig. 4a, the calcium recording here is rather noisy due to the insensitivity of GCaMP to single action potentials in this neuron.