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APThreshold: A software tool for quantifying and analyzing action potential threshold dynamics
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DOI：10.1016/j.neucom.2025.130894.png)
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Abstract
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The action potential (AP) threshold controls spike initiation in single neurons and exhibits considerable variability with recent firing history and input properties. Spike threshold dynamics enables neurons to perform temporally precise coding. Quantifying and analyzing threshold dynamics usually requires multiple ad-hoc programming, that is, obtaining APs, identifying threshold voltage, calculating spike features, and data visualization. To facilitate analysis efficiency, we present the AP threshold dynamics analyzer (APThreshold), which is a Python-based software tool with a user-friendly graphic user interface (GUI). We implement the waveform curvature-based and ramp stimulation-based methods for threshold identification in the software. The GUI is designed as an interactive tool, which enables users to visualize the data in a point-and-click manner and customize the coordinate axes of each plot without programming. This endows APThreshold with the ability to examine the relationship between threshold voltage and spike features and analyze its underlying biophysical basis. We provide three example workflows of how to use our software to quantify the threshold dynamics in biophysical models or experimental recordings. We also compare the estimated threshold voltages of 15 recorded action potentials from the Allen Cell Types Database using APThreshold and two existing similar tools. The results validate the functionality and efficiency of the software in identifying spike threshold with the implemented methods. APThreshold could be applied as an effective tool to analyze the threshold variability across cell types.
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Cited Papers
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