Zip nets: Efficient associative computation with binary synapses

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Structural Synaptic Plasticity Has High Memory Capacity and Can Explain Graded Amnesia, Catastrophic Forgetting, and the Spacing Effect (2014, methodology): “networks with discrete synaptic weights [53,54,79].”
Optimal synaptic learning in non-linear associative memory (2010, background): “…in similar network models by structural plasticity (meaning the elimination and generation of synapses [60]) yields a much higher diverging synaptic capacity where the information that a binary synapse can store scales with the logarithm of the network size n [61], [62], [63], [64], [29], [65].”
Neural Associative Memory with Optimal Bayesian Learning (2011, background): “Some preliminary work (Knoblauch, 2009c, 2010b) indicates that the Bayesian associative memory can be efficiently discretized such D ow nloaded from http://direct.m it.edu/neco/article-pdf/23/6/1393/854213/neco_a_00127.pdf by guest on 01 July 2021 that structurally compressed network…”