“…For example, an existing miniML model can be easily retrained to eliminate potential false positives, e.g., due to sudden changes in noise characteristics. miniML's approach to detect events is not restricted to electrophysiological data, but can also be applied to time-series data derived from live imaging experiments using, e.g., reporters of glutamate (A. Aggarwal et al, 2023), Ca 2+ (Tran and Stricker, 2021), or membrane voltage (Li et al, 2020). The development of novel optical sensors with improved sensitivity and temporal resolution (Evans et al, 2023; necessitates efficient and robust event detection methods.…”