<artificial intelligence> The basic building block of artificial neural networks. It receives one or more inputs and produces one or more identical outputs, each of which is a simple non-linear function of the sum of the inputs to the neuron. The non-linear function is typically a threshhold or step function which is usually smoothed (i.e. a sigmoid) to facilitate learning.
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Nearby terms: MCA « MCAD « MCC « McCulloch-Pitts neuron » McG360 » MCGA » MCI