Neural Associative Memory with Optimal Bayesian Learning

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Structural Synaptic Plasticity Has High Memory Capacity and Can Explain Graded Amnesia, Catastrophic Forgetting, and the Spacing Effect (2014, methodology): “First, it is well understood that weight capacity of biologically plausible memory models is limited by hard theoretical bounds suggesting Cv0:72 bit per synapse even for an infinite computing precision with N?? [27,45,46,72,73].”
Does Spike-Timing-Dependent Synaptic Plasticity Couple or Decouple Neurons Firing in Synchrony? (2012, background): “Consistent with many attractor neural network models of memory (Marr, 1971; Palm, 1980; Hopfield, 1982; Lansner, 2009; Knoblauch, 2011), these ideas imply the prediction that synchronized neurons should organize into bidirectionally connected cell ensembles, where the presence of a strong synapse fr”
Optimal synaptic learning in non-linear associative memory (2010, background): “1 (see also a related technical report [44], [47]).”