Universal automated classification of the acoustic startle reflex using machine learning

•Acoustic startle reflex waveforms must be classified into true startle / non-startle to ensure high quality data.•Machine learning method generalized across multiple species and startle modalities.•Features derived from the time/period of continuous wavelet transform are key to success.•Classify startle waveforms for nearly any startle measurement on nearly any species.