Experiments DB Dev
9af33e747e
Add make_matched_effort.m: pick the current-study day cutoff whose per-animal cumulative attempts best match the previous (_f) study's full-span total (~405 attempts/animal -> current days 0-3), then fit the paper LME on both. Two variation folders (data.csv + analyze.m + result.txt): variations/prev_f_full/ b2_f vs a2_f, days 0-9 (24 rats) variations/matched_current_d0_3/ Box-B2 vs Box-A2, 0-3 (6 rats) At matched cumulative effort both show a significant positive stim x day interaction (prev p=0.008 +0.56/day; current-0-3 p=0.004 +10.2/day) -- the tDCS acceleration replicates at equal practice, though the count slopes are not directly comparable across datasets given differing attempts/session. Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
66 lines
2.5 KiB
Plaintext
66 lines
2.5 KiB
Plaintext
==============================================================================
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VARIATION: prev_f_full
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==============================================================================
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model: behavior ~ stim + day + stim:day + (1|rat) (behavior = success COUNT)
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day = training day within window (0 = first analyzed day)
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treatment (stim=1): b2_f
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control (stim=0): a2_f
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N = 24 rats, 231 sessions raw day coverage: treat 0..9, control 0..9
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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 231
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Fixed effects coefficients 4
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Random effects coefficients 24
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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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1416.2 1436.9 -702.11 1404.2
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Fixed effects coefficients (95% CIs):
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Name Estimate SE tStat DF pValue
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{'(Intercept)'} 7.7376 1.4647 5.2828 227 2.9782e-07
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{'day' } 1.3487 0.15094 8.9352 227 1.4298e-16
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{'stim' } 1.8961 2.0698 0.9161 227 0.36059
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{'day:stim' } 0.56023 0.21043 2.6623 227 0.0083151
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Lower Upper
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4.8515 10.624
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1.0513 1.6461
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-2.1823 5.9745
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0.14559 0.97488
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Random effects covariance parameters (95% CIs):
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Group: rat (24 Levels)
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Name1 Name2 Type Estimate
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{'(Intercept)'} {'(Intercept)'} {'std'} 4.3164
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Lower Upper
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3.1535 5.9081
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Group: Error
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Name Estimate Lower Upper
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{'Res Std'} 4.4892 4.0771 4.9429
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effect t (df) F (df1) p
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------------------------------------------------------------------
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stim x day (interaction) t(227)= 2.66 F(1)= 7.088 p=0.008315
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day (learning) t(227)= 8.94 F(1)= 79.838 p=1.43e-16
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stim (main, window start) t(227)= 0.92 F(1)= 0.839 p=0.3606
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interaction 95% CI: [+0.15, +0.97]
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INTERPRETATION: stim x day interaction SIGNIFICANT positive -- treatment improves FASTER (benefit accumulates) (p=0.008315, slope diff=+0.56)
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Paper (N=24): interaction t(227)=2.68, F(1)=7.12, p=0.008.
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