Scatter Plot from Scientific Research

Open access visualization of Scatter Plot, Test Performance, Computational Tasks, Neural Network Architectures, Proprioceptive Signals
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Test performance of each model for selected computational tasks (N = 350 models, except for the autoencoder with n = 295) with respect to the number of layers. Appropriate metrics are shown per task (regression: mean squared error; classification: accuracy; autoencoder: relative error per muscle length; redundancy reduction task: Barlow loss). Neural network architectures were designed to integrate proprioceptive signals in different ways: spatial-temporal, temporal-spatial, spatiotemporal TCNs, and spatial-LSTM. SeeFigure S1for more tasks.

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