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Table 1 The values for the constants for the exponential curves \({\mathcal{E}}^{(n)}\) for \(n=1,2,3\) given by (1) and the power law curves \({\mathcal{P}}^{(n)}\) for \(n=1,2\) given by (2). The distance χ from the data is given for each curve

From: Noisy network attractor models for transitions between EEG microstates

 

\({\mathcal{E}}^{(1)}\)

\({\mathcal{E}}^{(2)}\)

\({\mathcal{E}}^{(3)}\)

 

\({\mathcal{P}}^{(1)}\)

\({\mathcal{P}}^{(2)}\)

\(a_{1}\)

4.875 × 10−2

3.451 × 10−2

3.766 × 10−2

\(b_{1}\)

1.473 × 10−2

 

\(k_{1}\)

2.114 × 10−2

2.087 × 10−2

2.113 × 10−2

\(c_{1}\)

7.79 × 10−2

 

\(a_{2}\)

 

2.829 × 10−3

2.432 × 10−3

\(b_{2}\)

 

−8.205

\(k_{2}\)

 

9.510 × 10−3

9.293 × 10−3

\(c_{2}\)

 

−1.602

\(a_{3}\)

  

1.052 × 10−5

d

 

2.519 × 10−2

\(k_{3} \)

  

1.405 × 10−3

   

χ

697.6697

9.9775

2.4163

 

0.2005

0.0027