Extended Data Fig. 7: Ablation and Spatial Projection Analyses for the Rat Hippocampus and Macaque Datasets.
(a) 2D visualizations from ablation experiments on the Rat Hippocampus dataset, including BCNE without temporal projection, without spatial projection, with a 1D autoencoder as spatial projection, with a 2D autoencoder as spatial projection, and the proposed BCNE, shown for four rats. (b) Boxplot of Pearson correlation values between real rat positions and embeddings generated by ablation experiments. (c) Boxplot of KNN classifier accuracy for the learning stage classification task, calculated from ablation embeddings. (d) 2D input data after rearrangement using the compared autocorrelation-based spatial projection, displayed for selected time points (T = 0, 1, 2, 100, 200, 300, 1000, 1008, 1009). (e) 2D input data after rearrangement using the proposed spatial projection of BCNE, shown for the same time points. (f) 2D visualizations generated by BCNE with the compared spatial correlation projection for four rats. (g) Boxplots for Pearson correlation values and KNN classifier accuracy calculated from embeddings generated by the ablation experiments. (h) 2D visualizations from ablation experiments on the Macaque dataset, including BCNE without temporal projection, without spatial projection, with simple spatial correlation projection, with a 1D autoencoder as spatial projection, with a 2D autoencoder as spatial projection, and the proposed BCNE under active or passive modes. The colormap, statistical tests, and box plot conventions are the same as those used in Fig. 4.
