Pipeline Consisting of LSTM + Variational and Transformer Based Autoencoders + PCA/UMAP (Parameterized and Non-Parameterized) For Generating Low-Dim Manifold Representation of V1 Neural Activity
machine-learning deep-neural-networks deep-learning dimensionality-reduction manifold manifold-learning latent-variables neuromorphic-computing latent-space renormalization-group scaling-exponent
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Updated
Dec 11, 2022 - Python