Figure 3 | Scientific Reports

Figure 3

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

Figure 3The alternative text for this image may have been generated using AI.

Learned successor representation (SR) matrices and corresponding ground truths. Learned SR matrices (left column) are very similar to their corresponding ground truth SR matrices (right column). (A) For a discount factor of \(\gamma =0.3\), the root-mean-squared error (RMSE) between learned and ground truth SR matrix is 0.02034. (B) For \(\gamma =0.7\), the RSME is 0.01496. (C) For \(\gamma =1.0\), the RMSE is 0.00854. Note that, x-axes denote index of starting state, y-axes denote index of successor state.

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