Fig. 2: Offline characterization of beta-band bursts.
From: Real-time detection of neural oscillation bursts allows behaviourally relevant neurofeedback
Bursts were detected offline as peaks in time and frequency of the wavelet time-frequency representation (similar to a previous study8), which exceed the 98th percentile5 in the first three sessions (blue bars) and last three sessions (red lines) of rats trained in the neurofeedback paradigm (left panels) or sham-trained rats (right panels). Dashed black lines indicate the median. a Peak frequency. b Frequency span, defined as the distance (in Hz) between the lowest and highest frequencies with power above the 98th percentile at the peak time-point. c Burst duration, defined as the distance (in ms) between the first and last time points with power above the 98th percentile of the peak frequency. d Inter-burst-interval. e Burst power, presented as the fraction of the median (FOM).
