| Name | Description | # Features |
|---|
| nc_temporal_ac | The autocorrelation of the timeseries at lags one through five | 5 |
| nc_temporal_bins | The power of the timeseries collected in 5 different bins between 0.008 and .25 Hz | 5 |
| nc_temporal_dynrange | Dynamic range is the difference in power value (or count) between the peak and the minimum power to the right or left. Dynamic fft high and low is the difference in power X count at the peak vs left and right lowest frequencies | 6 |
| nc_temporal_entropy | the entropy of the timeseries | 1 |
| nc_temporal_highfreqnoise | Percentage of high frequency noise above specified index | 1 |
| nc_temporal_kurtosis | kurtosis is a measure of how outlier prone a distribution is. Distributions that are more outlier-prone than normal have kurtosis greater than 3. Distributions that are less outlier-prone than normal have kurtosis less than 3. | 1 |
| nc_temporal_mean | The mean response over time | 1 |
| nc_temporal_peaks | Calculations for minimum and maximum peak values, as well as amplitude | 9 |
| nc_temporal_psd | Power spectrum density | 83 |
| nc_temporal_skewness | skewness of timecourse | 1 |
| nc_temporal_energyratio | We calculate the spectral power below 0.10 Hz over the power between 0.15 and 0.25 Hz | 1 |