High-Fidelity Coding with Correlated Neurons
Figure 4
Heterogeneous neural populations.
A, B. Histogram of the error suppression (error in the homogeneous, 2-Pool model divided by the error in the fully heterogeneous model) for variability values and
, respectively. All suppression values are greater than one. C. Value of the error suppression (geometric mean) versus the degree of population variability;
neurons,
,
,
,
. (With these parameters, correlation suppresses the error probability by a factor of 4350 relative to the matched independent population.)