11 Associative Neural Network Library Publicly available at http://synapse.vit.iit.nrc.ca/memory/pinn/library.html Effective C++ implementation of full and sparse associative networks Includes noniterative Pseudo-Inverse LR with possibility of addition/removal of selected vectors to/from memory Different learning rules: Projective, Hebbian, Delta Rule, Pseudo-Inverse Different architectures: fully-connected, cellular (1D and 2D), random, small-world, adaptive Desaturation Technique: allows to increase memory capacity up to 100% Different update rules: synchro.
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