Table 1

R2 of data fitting with logistic function

Exp2. Horizontal Ponzo

Exp3. Vertical Ponzo

Exp1. Ebbinghaus


Mono.

Dich.

Bino.

Mono.

Dich.

Bino.

Mono.

Dich.

Bino.


H.C.

0.9993

0.9980

0.9942

0.9881

0.9637

0.9705

0.9469

0.9901

0.9855


L.C.

0.9853

0.9848

0.9972

0.9616

0.9300

0.9943

0.9906

0.9945

0.9812


A.H.

0.9889

0.9840

0.9826

0.9988

0.9997

0.9987

0.9852

0.9539

0.9593


X.L.

0.9815

0.9704

0.9467

0.9983

0.9923

0.9826

0.9949

0.9778

0.9334


C.S.

0.9962

0.9962

0.9965

0.9900

0.9865

0.9966

0.9987

0.9952

0.9877


D.S.S.

0.9968

0.9933

0.9948

0.9879

0.9678

0.9860


R2 value of logistic fitting in illusion magnitude measurement is listed for each participant in each condition (monocular, dichoptic, binocular) of each illusion (Ponzo illusion in horizontal design, Ponzo illusion in vertical design, Ebbinghaus illusion). The R2 value reflects the goodness of the fit and justifies the use of logistic fitting to quantify the illusion magnitude.

Song et al. BMC Neuroscience 2011 12:27   doi:10.1186/1471-2202-12-27

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