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