Thanks for the comment - uGMM neurons are not just "RBFs with log outputs". Each neuron is a mixture of Gaussians with trainable means, variances, and mixture w

Thanks for the comment - uGMM neurons are not just "RBFs with log outputs". Each neuron is a mixture of Gaussians with trainable means, variances, and mixture weights, encoding uncertainty and multimodality that propagates through the network. The log-likelihood output is simply a consequence of this probabilistic formulation, not an innovation.