Experiments DB Dev
969c0205e8
Add make_variations.m + variation_analyze.m generating 20 self-contained subfolders under analysis/matlab/variations/, one per grouping x day-window, each with exactly three files: data.csv (curated subset), analyze.m (a simple standalone script fitting behavior ~ stim + day + stim:day + (1|rat) on the success COUNT), and result.txt (its output). Plus variations/SUMMARY.csv. Groupings (stim=1 / stim=0, other groups dropped): unmerge B2 vs A2 right_only B2+Right vs A2 (Box-A dropped) naive_a2 B2 vs A2+Naive (Right, Box-A dropped) naive_boxa B2 vs A2+Naive+Box-A (Right dropped) Windows: 0-10, 0-13, 0-5, 6-10, 6-13. All 20 have equal day coverage. Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
66 lines
2.5 KiB
Plaintext
66 lines
2.5 KiB
Plaintext
==============================================================================
|
|
VARIATION: unmerge_d0_10
|
|
==============================================================================
|
|
model: behavior ~ stim + day + stim:day + (1|rat) (behavior = success COUNT)
|
|
day = training day within window (0 = first analyzed day)
|
|
treatment (stim=1): Electrode-Box-B2
|
|
control (stim=0): Electrode-Box-A2
|
|
N = 6 rats, 61 sessions raw day coverage: treat 0..10, control 0..10
|
|
(equal day coverage over this window)
|
|
|
|
==============================================================================
|
|
FULL MODEL SUMMARY -- fitlme
|
|
==============================================================================
|
|
|
|
Linear mixed-effects model fit by ML
|
|
|
|
Model information:
|
|
Number of observations 61
|
|
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
|
|
499.59 512.25 -243.79 487.59
|
|
|
|
Fixed effects coefficients (95% CIs):
|
|
Name Estimate SE tStat DF pValue
|
|
{'(Intercept)'} 17.372 5.1906 3.3469 57 0.0014518
|
|
{'day' } 7.9666 0.79053 10.077 57 2.8317e-14
|
|
{'stim' } 4.9763 7.2862 0.68298 57 0.49739
|
|
{'day:stim' } 1.5577 1.0483 1.4858 57 0.14283
|
|
|
|
|
|
Lower Upper
|
|
6.9783 27.766
|
|
6.3836 9.5496
|
|
-9.614 19.567
|
|
-0.5416 3.6569
|
|
|
|
Random effects covariance parameters (95% CIs):
|
|
Group: rat (6 Levels)
|
|
Name1 Name2 Type Estimate
|
|
{'(Intercept)'} {'(Intercept)'} {'std'} 5.3536
|
|
|
|
|
|
Lower Upper
|
|
2.1542 13.305
|
|
|
|
Group: Error
|
|
Name Estimate Lower Upper
|
|
{'Res Std'} 12.508 10.37 15.086
|
|
|
|
|
|
effect t (df) F (df1) p
|
|
------------------------------------------------------------------
|
|
stim x day (interaction) t(57)= 1.49 F(1)= 2.208 p=0.1428
|
|
day (learning) t(57)= 10.08 F(1)= 101.556 p=2.832e-14
|
|
stim (main, window start) t(57)= 0.68 F(1)= 0.466 p=0.4974
|
|
interaction 95% CI: [-0.54, +3.66]
|
|
INTERPRETATION: stim x day interaction n.s. -- slopes parallel (no differential learning rate) (p=0.1428, slope diff=+1.56)
|
|
Paper (N=24): interaction t(227)=2.68, F(1)=7.12, p=0.008.
|