SimplyFire

SimplyFire analyzes electrophysiological recordings through an interactive graphical user interface or as an importable Python package for neuroscientists studying synaptic events.

Key Features:

• Noise filtering: Removes noise from electrophysiological recordings.
• Trace averaging: Averages multiple electrophysiological traces.
• Miniature analysis: Analyzes miniature synaptic events in recordings.
• Trace exporting: Exports processed electrophysiological traces.
• Plugin structure: Allows users to create and deploy custom electrophysiology analysis tools.

Scientific Applications:

• Synaptic event analysis: Analyzes a variety of electrophysiological recordings to study synaptic events.
• Algorithm verification: Validates analysis accuracy using computer-generated traces with known true values of events.

Methodology:

SimplyFire implements algorithms for noise filtering, trace averaging, miniature analysis, and trace exporting; accuracy was verified using computer-generated traces with known true event values.