Table 3.

Class assignment by LC analysis—GDPs and evoked bursts

Group	Mean (SE)a (ms)	Number of cells assigned to classb	Number assigned with high probabilityc
GDPs
Early	−45.0 (11.1)	10 (13%)	5 (50%)
Middle	0 (11.2)	60 (79%)	56 (93%)
Late	+116 (13.3)	6 (8%)	5 (83%)
Evoked bursts
Early	−80.9 (28.5)	7 (9%)	3 (43%)
Majority	0 (5.15)	68 (91%)	62 (91%)

LC model analysis found three classes as the best fit model for GDPs. Mean values were obtained from the intercept of the class-specific spline curve, with the SD indicating the distribution (variability) of each class. We arbitrarily named these three classes as early, middle, and late, based on the mean value. Class assignment was conducted based on maximum posterior probability for membership of each cell to each class (examples of posterior probability are presented in Fig. 5B). Of 76 cells analyzed, 10 cells were assigned to the early class, of which 5 cells were assigned with high probability. Six cells were assigned to the late class, with the majority of the cells (60 cells) assigned to the middle class. For evoked bursts, LC model analysis found two classes as the best fit model. We arbitrarily named the two classes early and majority, based on the mean value. Among 75 cells, 7 cells were assigned to the early class (3 cells with high probability).

^aOffset in middle class was defined as 0.

^bBased on maximum posterior probability across all classes.

^cBased on maximum posterior probability of at least 0.90.