Spiking Neuron Network Helmholtz Machine by Pavel eSountsov, Pavel eSountsov, Paul eMiller, Paul eMiller

“…This paper aims to unify the two fields of probabilistic inference and synaptic plasticity by using a neuronal network of realistic model spiking neurons to implement a well studied computational model called the Helmholtz Machine. The Helmholtz Machine is amenable to neural implementation as the algorithm it uses to learn its parameters, called the wake-sleep algorithm, uses a local delta learning rule. …”
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