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experiments-database/analysis/matlab/variations/naive_a2_d0_13/result_rate.txt
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Experiments DB Dev 6ba21a1a35 analysis(matlab): rate + count outputs, variation batch 2
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
2026-07-24 02:32:52 -04:00

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VARIATION: naive_a2_d0_13 [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, Naive
N = 10 rats, 122 sessions raw day coverage: treat 0..13, control 0..13
(equal day coverage over this window)
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FULL MODEL SUMMARY -- fitlme
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Linear mixed-effects model fit by ML
Model information:
Number of observations 122
Fixed effects coefficients 4
Random effects coefficients 10
Covariance parameters 2
Formula:
behavior ~ 1 + day*stim + (1 | rat)
Model fit statistics:
AIC BIC LogLikelihood Deviance
-181.33 -164.5 96.663 -193.33
Fixed effects coefficients (95% CIs):
Name Estimate SE tStat DF pValue
{'(Intercept)'} 0.23325 0.027564 8.4623 118 8.2776e-14
{'day' } 0.031488 0.0030917 10.184 118 7.3141e-18
{'stim' } 0.055421 0.048873 1.134 118 0.2591
{'day:stim' } 0.012089 0.0053578 2.2563 118 0.025894
Lower Upper
0.17867 0.28783
0.025365 0.03761
-0.041361 0.1522
0.0014788 0.022699
Random effects covariance parameters (95% CIs):
Group: rat (10 Levels)
Name1 Name2 Type Estimate
{'(Intercept)'} {'(Intercept)'} {'std'} 0.044199
Lower Upper
0.022679 0.086139
Group: Error
Name Estimate Lower Upper
{'Res Std'} 0.10453 0.091674 0.1192
effect t(df) / F(df1) p (resid) Satterthwaite: p (df)
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stim x day (interaction) t(118)= 2.26 F(1)= 5.091 p=0.02589 p=0.02593 (df=116)
day (learning) t(118)= 10.18 F(1)=103.724 p=7.314e-18 p=6.719e-18 (df=119)
stim (main, window start) t(118)= 1.13 F(1)= 1.286 p=0.2591 p=0.2666 (df=27)
interaction 95% CI: [+0.001479, +0.0227]
HONEST LME (per-animal random slope, day|rat): interaction F(1,97.3)=5.06, p=0.02667
(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=0.02589, slope diff=+0.01209)
Paper (N=24, count): interaction t(227)=2.68, F(1)=7.12, p=0.008.