Extended Data Fig. 3: Ablation Experiments on the Sherlock fMRI Dataset. | Nature Computational Science

Extended Data Fig. 3: Ablation Experiments on the Sherlock fMRI Dataset.

From: Revealing neurocognitive and behavioral patterns through unsupervised manifold learning of dynamic brain data

Extended Data Fig. 3: Ablation Experiments on the Sherlock fMRI Dataset.The alternative text for this image may have been generated using AI.

(a) 2D visualizations for multiple ablation experiments, including BCNE without temporal projection, without spatial projection, with a 1D autoencoder as spatial projection, with a 2D autoencoder as spatial projection, with contrastive loss, and the proposed BCNE, across the EV, HV, EA, and PMV regions. The colormap is the same as in Fig. 2. (b–d) Boxplots, radar maps, and heatmaps displaying KNN classifier accuracy for the 39-event classification task, computed from embeddings produced by the ablation experiments across different regions. KNN accuracies were calculated using a single, randomly selected seed. The same statistical tests and box plot conventions are applied as in Fig. 2.

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