Computational model used in machine learning, based on connected, hierarchical functions.
Artificial neural network that mimics real neurons by incorporate the concept of time, in which neurons fire when its potential reaches a target value.
Stochastic neural networks are a type of artificial neural networks built by introducing random variations into the network, either by giving the network's neurons stochastic transfer functions, or by giving them stochastic weights.
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