Clustering parameters.

(A) Results from the gap statistics after t-SNE dimensional reduction. According to the gap statistics, when the gap statistic value for a clustering number is lower than the value for the next higher clustering number minus its standard error, this indicates a significant clustering number. The smallest significant clustering number is then chosen. In our case, this value was determined to be 3. (B) Clustering result when the recorded neurons were clustered into two groups. Dividing the clusters into two did not significantly alter the composition of the neurons in the persistent neuron group, compared to when the clusters were divided into three. (C) Number of exploratory and non-exploratory neurons, in each cluster. It also shows the number of rats used for each group.

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