AI RESEARCH
Normative Networks for Source Separation via Local Plasticity and Dendritic Computation
arXiv CS.LG
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ArXi:2605.19965v1 Announce Type: new Blind source separation (BSS) is a natural framework for studying how latent causes may be recovered from sensory mixtures, but deriving online and biologically plausible algorithms for structured (i.e., constrained to known domains) and potentially correlated sources remains challenging. Recent work has derived neural networks for BSS from maximization of an entropy measure, yet its online implementations involve complex and nonlocal recurrent dynamics.