Figure 7 | Scientific Reports

Figure 7

From: Neural network based formation of cognitive maps of semantic spaces and the putative emergence of abstract concepts

Figure 7The alternative text for this image may have been generated using AI.

Dissimilarities between interpolated features and ground truth. 10 networks with \(\gamma =1.0\) have been trained. Dissimilarity is low in case of a no or a single missing feature, and increases with number of missing features up to 40% for six missing features. In general, binary semantic features are inferred with better accuracy than non-binary semantic features. The variance of the different networks for the features ‘height’ and ‘weight’ are highest.

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