Mixed recurrent connectivity in primate prefrontal cortex
Fig 4
Matching model properties to FEF (left) and DLPFC (right) constraints.
(A) Percentage of selective neurons for models trained using different percentages of bump attractor units (x-axis) for different noise levels (left to right: 0.07, 0.08, 0.09). (B) Same as (A) but for the percentage of correlated pairs. (C) Same as (A) but for the percentage of neurons in correlated pairs. (D) (left) Fano factor for models that consistently match the properties in A-C: yellow window highlights models that match the specific property, and orange window highlights models that match all properties in A-C (for noise levels without a match for all properties, we selected the bump percentages that matched at least 2 of them). (Right) The correlation coefficient for the neuron pairs (blue bars: significant values; gray bars: non-significant values).