Fig. 10: Control Analyses. | Nature Communications

Fig. 10: Control Analyses.

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

Fig. 10: Control Analyses.The alternative text for this image may have been generated using AI.

The key distributed properties including A NRS representation, B NRS based distance effect, C NRS based \(\log\)-ratio effect, D MDS representations, E covariance between MDS dimension 1 and magnitude, and F covariance between MDS dimension 2 and mid-point anchor. These properties are all replicated for the three control analyses conducted, and in A–F the subplots show (a) Main: primary analysis based on accuracy reaching 99%+ levels; (b) Epoch 1: control for limited single epoch training where accuracy increases to 77%, similar to human accuracy levels; (c) RMS prop; control for change in training method from Adam optimizer to RMS propagation; and (d) SGD: control for change in training method from Adam optimizer to stochastic gradient descent. Source data are provided as a Source Data file.

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