Fig. 6. Neural tuning in nDNN as a function of log-ratio numerosity.

A (A) Behavioral tuning for number discrimination and (B) inferred neural tuning in the IPS, as a function of the log-ratio of input numerosities, for adults and children. Tuning curves demonstrate a U-shaped curve with slightly higher tapering (steeper rise away from $\log$-ratio 1) for adults compared to children. Adapted from Kersey & Cantlon⁴⁰. B Neuronal tuning based on selectivity as a function of $\log$-ratio of input numerosities being compared shows a similar sharp U-curve in the layer (d) IPS of our nDNN model, but not in the earlier layers (a) V1, (b) V2, and (c) V3 (blue: pre-trained; red: post-training). C Neuronal tuning based on difference in activation as a function of $\log$-ratio of input numerosities being compared shows a similar sharp U-shaped curve in layer (d) IPS of our nDNN model but not in the earlier layers (a) V1, (b) V2, and (c) V3 (blue: pre-trained; red: post-training). Source data are provided as a Source Data file.