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. Author manuscript; available in PMC: 2013 Sep 1.
Published in final edited form as: Neural Comput. 2012 Jun 26;24(9):2384–2421. doi: 10.1162/NECO_a_00330

Table 3.

Measures of predictive power of position-specific and position-invariant models for an example neuron from Figure 11 that was best described by a position-specific model.

Information Fraction Max Variance Fraction Correlation coefficients

Position-specific 1D 0.190 ± 0.006 0.114 ± 0.009 0.329 ± 0.002
2D 0.350 ± 0.007 0.39 ± 0.03 0.423 ± 0.003
3D 0.532 ± 0.013 0.79 ± 0.05 0.453 ± 0.002

Position-invariant 1D 0.211 ± 0.006 0.094 ± 0.006 0.445 ± 0.004
2D 0.337 ± 0.008 0.204 ± 0.012 0.507 ± 0.003
3D 0.518 ± 0.010 0.47 ± 0.03 0.240 ± 0.004