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A Hebbian/Anti-Hebbian Network Derived from Online Non-Negative Matrix Factorization Can Cluster and Discover Sparse Features., and . CoRR, (2015)Efficient Principal Subspace Projection of Streaming Data Through Fast Similarity Matching., , , and . IEEE BigData, page 1015-1022. IEEE, (2018)A Spiking Neural Network with Local Learning Rules Derived from Nonnegative Similarity Matching.. ICASSP, page 7958-7962. IEEE, (2019)Spectral regularization for adversarially-robust representation learning., , and . CoRR, (2024)Correlative Information Maximization Based Biologically Plausible Neural Networks for Correlated Source Separation., , , and . ICLR, OpenReview.net, (2023)The Influence of Learning Rule on Representation Dynamics in Wide Neural Networks., and . ICLR, OpenReview.net, (2023)Interneurons accelerate learning dynamics in recurrent neural networks for statistical adaptation., , and . CoRR, (2022)Asymptotics of representation learning in finite Bayesian neural networks., , and . CoRR, (2021)Manifold-tiling Localized Receptive Fields are Optimal in Similarity-preserving Neural Networks., , , , and . NeurIPS, page 7080-7090. (2018)Natural gradient enables fast sampling in spiking neural networks., , , , and . NeurIPS, (2022)