MaleCNS × PC-ALM

Asks whether a local learning rule can train a network wired from the MaleCNS connectome, on a small graph of 132 neurons and 1,001 retained connections, and answers that it can but without an advantage. Across 760 fits predictive coding with an augmented Lagrangian did not beat plain predictive coding: mean test error 0.01721 against 0.01091 on the nonlinear teacher, and a separate matched-learning-rate control left it 1.9-5.1% higher. Better initial gradient alignment did not become lower final error. Tasks use synthetic targets, not measured fly behaviour.

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#local-learning#predictive-coding#negative-result#paired-seeds#korean