On associative memory

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How researchers see this paper

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Synchronization and pattern separation in spiking associative memories and visual cortical areas (2004, methodology): “Starting from simple abstract models for neural associative memory [204, 129, 69, 134] and neural assemblies [64, 26, 130, 133] we will develop a biological realistic model using spiking neurons that reproduces many neurophysiological observations, and that solves very naturally some instances of th”
Neural Associative Memory with Optimal Bayesian Learning (2011, background): “Exact potential distributions are well known and can be used to compute optimal firing thresholds (Palm, 1980; Buckingham & Willshaw, 1992, 1993; Knoblauch, 2008; Knoblauch et al., 2010).”
Memory Capacities for Synaptic and Structural Plasticity (2010, methodology): “…much more efficient by any standards because nonlinearities in the neural transfer function and in the superposition of memory traces keep the crosstalk small, even if the number of stored patterns scales almost with the square of the dimension of the patterns (Willshaw et al., 1969; Palm, 1980).”