Could you estimate the entropy of a recording from the online neuro data set over a suitable time period, long enough to acquire a good estimate but not too long to lose stationarity?
a) Use the spike times in the recording to calculate the interspike interval histogram and use it to estimate the entropy of the spiking activity.
b) Split the recording into non-overlapping time windows and calculate the entropy of each window separately, then average the results to obtain the overall entropy estimate.
c) Use a sliding window approach to calculate the entropy over time, allowing for changes in entropy to be captured as the recording progresses.
d) Apply a suitable signal processing technique to extract relevant features from the recording, and then use these features to estimate the entropy of the signal.