Table 1 OLS regression results for classification accuracy

From: Network structure influences the strength of learned neural representations

Lateral occipital cortex

Coef.

Std.Err.

df

t

p > ∣t∣

[0.025

0.975]

Sig.

Intercept

0.25

0.0198

27

12.6

<0.001

0.209

0.29

***

graph[Modular]

0.053

0.0247

27

2.15

0.041

0.0023

0.104

*

z_RT

0.0237

0.0209

27

1.13

0.267

−0.0192

0.0667

 

z_RT:graph[Modular]

−0.0059

0.0261

27

−0.227

0.822

−0.0594

0.0476

 

Postcentral gyrus

Coef.

Std.Err.

df

t

p > |t|

[0.025

0.975]

Sig.

Intercept

0.134

0.0085

27

15.8

<0.001

0.116

0.151

***

graph[Modular]

−0.0117

0.0106

27

−1.11

0.278

−0.0335

0.01

 

z_RT

0.0191

0.009

27

2.13

0.0425

0.0007

0.0376

*

z_RT:graph[Modular]

−0.0152

0.0112

27

−1.36

0.185

−0.0382

0.0077

 
  1. Both tables summarize model fit for classification_accuracy ~ z_RT*graph where z_RT is the z-scored response time
  2. *p < 0.05; ***p < 0.001
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