Table 2. Linear mixed effects model fit (adjusted R2) and standard deviation (SD) of random effects.
R2 | SD | |||
---|---|---|---|---|
Random effect | + (1|f)# | + (1|f:n)^ | + (1|n)& | |
Φ ~ c | .489 | 0.011 | 3.185 × 10−11 | |
Φ ~ c + l + d + l:c + d:c | .493 | 0.011 | 1.524 × 10−11 | |
φ ~ c + s + c:s | .412 | 5.95 × 10−3 | 4.07 × 10−3 | |
Δφ ~ s | .372 | 0.235 | 0.121 | |
aW ~ F | .476 | 0.019 | ||
aA ~ F | .309 | 0.020 | ||
aΦW ~ l + d | .562 | 0.683 | ||
aΦA ~ l + d | .513 | 0.702 | ||
aφW ~ l + d | .555 | 0.686 | ||
aφA ~ l + d | .535 | 0.694 |
Model specifications are described in detail in Methods. Φ: system-level integrated information. c: level of arousal (wake/anesthesia). l: channel set location. d: sum of pairwise distances between channels within a channel set. φ: (mechanism-level) integrated information. s: mechanism size. Δφ: ratio of wakeful to anesthetized integrated information for mechanism-level integrated information. aW: within-fly classification accuracy. F: feature used for classification (categorical variable; individual 1-, 2-, 3-, 4-channel mechanisms, 1 feature; IIS, 15 features; or system-level integrated information, 1 feature). aA: across-fly classification accuracy. aΦW: within-fly classification accuracy using system-level integrated information. aΦA: across-fly classification using system-level integrated information. aφW: within-fly classification accuracy using the IIS. aφA: across-fly classification accuracy using the IIS.
# Random intercept for effect of fly.
^ Random intercept for interaction between fly and channel set.
& Random intercept for channel set.