Extended Data Fig. 6: Circuit inference using logistic regression is not improved by l1 regularization.
From: Systematic errors in connectivity inferred from activity in strongly recurrent networks
a, Example ring network weight profiles inferred using logistic regression with zero, optimal and excessive regularization penalties. When weights are weak, regularization reduces some noise and marginally improves inference. At high weights, regularization suppresses both the spurious off-diagonal stripes and the true coupling shape, so is not helpful. b, Inference error vs weight strength using logistic regression with and without l1 regularization. c, Optimal l1 penalties (that produce the lowest inference errors) at each weight. Regularization improves inference in the strong and weak weight regimes, but barely.
