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. Author manuscript; available in PMC: 2013 Oct 19.
Published in final edited form as: Neural Comput. 2012 Aug 24;24(11):2852–2872. doi: 10.1162/NECO_a_00353

Figure 1.

Figure 1

A network architecture for LCA, RDA, LBI, or HDA. Feedforward projections multiply the input f by a matrix AT, while lateral connections update internal node activity ν by a product of matrix −ATA and external activity u.