HIGHLIGHTS
SUMMARY
Can be used to classify functionally distinct neurons recorded in_vivo (i.e., differences in the width of AP waveforms and the shape of spike train auto-correlograms; Mosher et_al, 2020; Petersen et_al, 2021). Among different types of connectivity, functional connectivity (FC), here broadly defined as the statistical co-activity between neurons (Stephan and Friston, 2009; Feldt et_al, 2011), has been excessively used to study characteristics of neuronal circuits (Friston, 1994; Greicius et_al, 2003; Damoiseaux et_al, 2006; Cohen and Maunsell, 2009; Shirer et_al, 2012; English et_al, 2017; Pastore et_al, 2018). For the main dataset, electrophysiological . . .
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