Sampling effects and measurement overlap can bias the inference of neuronal avalanches
Fig 2
Analysis pipeline for avalanches from sampled data.
I: Under coarse-sampling (LFP-like), the recording is demeaned and thresholded. II: The timestamps of events are extracted. Under sub-sampling (spikes), timestamps are obtained directly. III: Events from all channels are binned with time-bin size Δt and summed. The size S of each neuronal avalanche is calculated. IV: The probability of an avalanche size is given by the (normalized) count of its occurrences throughout the recording.