A network with dynamic interneurons implements sparse coding.

<p>Comparison of original sparse coding network model to approximation with plausible interneurons with a dynamical model. Different markers represent results using different stimuli. (A) The energy function representing the total objective being optimized. (B) The sparsity of the response <b>a</b>. (C) The relative ℓ² error of the image reconstruction.