Bernal S D_2010.pdf - University of Plymouth

5.2. FEEDBACK-MHDIATED ILLUSORY CONTOVR COMPLETION
0296
OZBfl
Mean absnlule error
between CI square
o.2Ba
reconstructiun usin^
S2-C2 weiehe matrix
and Ihe ideal CI square
029
0.288
0.2B6
-•-NC2=VKC2^
—-NC2=1,KC2=H
— —NC2=1,KC2-12
---NC2=1,KC2=1fl
---NC2=1.KC2=20
— NC2-«. KC2=4
—-NC2=4. KC2-a
— NC2=a. KC2-12
NC2-1,KC2=1B;
-NC2"*. KC2=20.
0.2B4.
0 5 10 15 20 25 30 36
Number of non-zero elements in Ihe S2-C2 weight malris:
Figure 5.24: C(HTiparison beiween the feedback generated by u square representation in Ihe
C2 layer as a funciion of ilie number of non-/ero elements (x-axi.s) in the S2-C2
weight matrix and Ihe sampling parameters ^('2 and Kcj Idifterem line graphs
as shown in figure legend). The C2 representation was obtained using an S2-C2
Weight matrix with iwo non-/,ero elemeni. The y-axi.'; corresponds to ihe mean
square difference beiween the C1 recoastruetion using Ihe different S2-C2 weight
mairiees and the ideal CI .square represenialion for all nodes of CI, scale hand 1.
The CI reeonslruclidn, ff(Cl), is obtained exclusively from ihe 7i{S2) response,
such thai no feedforward likelihood function is involved, using ihe lixed sampling
parameters Nci = 4 aiic! Kfi - 4. Tlie ideal CI square representation is shown
underneath the y-axis label. Three of Ihe CI reconstructions from S2-C2 weight
matrices with different parameters are also shown to visually illustrate lhat lower
error values generally correspond lo CI reconslruciions closer to the ideal CI
square.
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