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 | |