Topic: time-series features

Higher brain regions are thought to use the computational advantages of sitting closer to a critical point to support more complex cognitive functions. Finding evidence for this hypothesis from neural data is challenging, requiring robust and accurate measures of the distance to criticality (DTC). Many existing metrics of criticality---such as increased signal variance and slower timescales---are derived from analytically tractable systems with fixed or low-amplitude dynamical noise. However, the brain is highly stochastic, with noise levels that can vary between regions, recordings, or indivi