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method of artificial intelligence > neural network > artificial neuron

PREFERRED TERM

artificial neuron  

DEFINITION(S)

  • a formal model proposed in 1943 by Warren McCulloch and Walter Pitts and inspired by biological neurons. A neuron has a number of inputs and outputs. The neuron activates itself (and all its outputs) when it receives a sufficiently strong signal (determined by an activation function) from all its inputs. (Source: translated from https://ia.gdria.fr/Glossaire/neurone-2/ )

BROADER CONCEPT(S)

BIBLIOGRAPHIC CITATION(S)

  • • McCulloch, W. S., & Pitts, W. (1943). A logical calculus of the ideas immanent in nervous activity. The Bulletin of Mathematical Biophysics, 5(4), 115–133. https://doi.org/10.1007/BF02478259
  • • McCulloch, W. S., & Pitts, W. (1943). Un calcul logique des idées immanentes dans l’activité nerveuse (A. Pélissier & A. Tête, Trad.). In A. Pélissier & A. Tête (Éds.), Sciences cognitives, textes fondateurs (1943-1950) (p. 62‑91). Presses Universitaires de France.

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URI

http://data.loterre.fr/ark:/67375/23L-N4WB3BRL-M

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