HelmchenLabSoftware/Cascade
Calibrated inference of spiking from calcium ΔF/F data using deep networks
This tool helps neuroscientists and biologists analyze calcium imaging data to understand neural activity. You input raw calcium imaging ΔF/F traces, and it translates them into precise spiking probabilities or discrete neural spikes, providing a clearer picture of neuronal firing. This is for researchers studying brain regions, spinal cord, or specific calcium indicators like GCaMP, who need accurate spike rate estimates without complex parameter tuning.
159 stars.
Use this if you need to accurately infer neuronal spike rates and discrete spikes from calcium imaging ΔF/F data to improve temporal resolution and denoise recordings.
Not ideal if your primary interest is in a different neuroscience technique, or if you require extensive manual parameter tuning for spike inference.
Stars
159
Forks
51
Language
Jupyter Notebook
License
GPL-3.0
Category
Last pushed
Feb 11, 2026
Commits (30d)
0
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