Fig. 3: Reorganization of nDNN with numerosity training. | Nature Communications

Fig. 3: Reorganization of nDNN with numerosity training.

From: Learning-induced reorganization of number neurons and emergence of numerical representations in a biologically inspired neural network

Fig. 3: Reorganization of nDNN with numerosity training.The alternative text for this image may have been generated using AI.

(A–E, L: numerosity neurons identified based on being selectively sensitive to numerosity, but not condition; F–J, M: numerosity neurons identified based on being sensitive to numerosity, regardless of whether they are also sensitive to stimulus condition). A, F Testing accuracy of the pre-trained network and across 50 epochs of numerosity training: full network (blue); network with persistent spontaneous (P-SPON) neurons in IPS layer ablated (pink) does not suffer performance degradation; network with all neurons in IPS layer except P-SPON ablated (green) suffers significant degradation in performance. B, G Number sensitive neurons as a proportion of total number of neurons in each layer, pre- and post-training. C, H Reorganization of SPONs with numerosity training: P-SPONs (dark blue), drop number sensitivity (red), or switch numerosity (light blue). D, I Reorganization of non-SPONs with numerosity training: Proportion of non-SPONs that remain non-sensitive to any number (dark blue), and that change to being number-sensitive (red). E, J Proportion of number sensitive post training that are newly trained or switched numerosities (dark blue) versus those that are P-SPONs and retain their SPON numerosity (red). K Reorganization between numerosity neurons that are exclusively sensitive to numerosity (selective), those that are sensitive to both numerosity and stimulus condition (non-selective), and those that are not sensitive to numerosity. (a, b) show the distribution of these neurons in each layer pre and post training. (c) Shows how the selective numerosity neurons reorganize post-training, with switch indicating a switch to a different preferred numerosity. (d) Shows a similar reorganization plot for neurons that are non-selective numerosity neurons pre-training. (e) Shows a similar reorganization plot for neurons that were not numerosity sensitive pre-training. L, M Proportion of number-sensitive neurons in each layer and training epoch that are (a) P-SPONs, (b) New+Switch, and (c) neither (transient). The contribution of New+Switch increases as we move across higher layers and increases with training epoch. Source data are provided as a Source Data file.

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