analysis(matlab): rate + count outputs, variation batch 5

Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
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Experiments DB Dev
2026-07-24 02:32:53 -04:00
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==============================================================================
VARIATION: unmerge_d0_5 [metric: success RATE (success/attempts)]
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model: behavior ~ stim + day + stim:day + (1|rat) (behavior = success RATE (success/attempts))
day = training day within window (0 = first analyzed day)
treatment (stim=1): Electrode-Box-B2
control (stim=0): Electrode-Box-A2
N = 6 rats, 36 sessions raw day coverage: treat 0..5, control 0..5
(equal day coverage over this window)
==============================================================================
FULL MODEL SUMMARY -- fitlme
==============================================================================
Linear mixed-effects model fit by ML
Model information:
Number of observations 36
Fixed effects coefficients 4
Random effects coefficients 6
Covariance parameters 2
Formula:
behavior ~ 1 + day*stim + (1 | rat)
Model fit statistics:
AIC BIC LogLikelihood Deviance
-62.201 -52.7 37.1 -74.201
Fixed effects coefficients (95% CIs):
Name Estimate SE tStat DF pValue
{'(Intercept)'} 0.2186 0.042385 5.1574 32 1.2572e-05
{'day' } 0.043366 0.010845 3.9986 32 0.0003516
{'stim' } -0.053758 0.059942 -0.89683 32 0.37651
{'day:stim' } 0.049022 0.015337 3.1962 32 0.0031273
Lower Upper
0.13226 0.30494
0.021275 0.065457
-0.17586 0.06834
0.01778 0.080263
Random effects covariance parameters (95% CIs):
Group: rat (6 Levels)
Name1 Name2 Type Estimate
{'(Intercept)'} {'(Intercept)'} {'std'} 0.046423
Lower Upper
0.019948 0.10804
Group: Error
Name Estimate Lower Upper
{'Res Std'} 0.078581 0.061014 0.10121
effect t(df) / F(df1) p (resid) Satterthwaite: p (df)
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stim x day (interaction) t(32)= 3.20 F(1)= 10.216 p=0.003127 p=0.00327 (df=30)
day (learning) t(32)= 4.00 F(1)= 15.989 p=0.0003516 p=0.0003833 (df=30)
stim (main, window start) t(32)= -0.90 F(1)= 0.804 p=0.3765 p=0.3834 (df=16)
interaction 95% CI: [+0.01778, +0.08026]
HONEST LME (per-animal random slope, day|rat): interaction F(1,7.1)=6.49, p=0.0379
(Satterthwaite DF ~= residual on this random-intercept model; the random-slope
model above is the honest learning-rate test -- DF collapses toward the animal count.)
INTERPRETATION: stim x day interaction SIGNIFICANT positive -- treatment improves FASTER (benefit accumulates) (p=0.003127, slope diff=+0.04902)
Paper (N=24, count): interaction t(227)=2.68, F(1)=7.12, p=0.008.