Are Neural Networks Imitations of Mind?

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Abstract

Artificial neural networks are often understood as a good way to imitate mind through the web structure ofneurons in brain, but the very high complexity of human brain prevents to consider neural networks as good modelsfor human mind;anyway neural networks are good devices for computation in parallel. The difference betweenfeed-forward and feedback neural networks is introduced; the Hopfield network and the multi-layers Perceptron arediscussed. In a very weak isomorphism (not similitude) between brain and neural networks, an artificial form of shortterm memory and of acknowledgement, in Elman neural networks, is proposed.
Lingua originaleEnglish
pagine (da-a)124-126
Numero di pagine3
RivistaJOURNAL OF COMPUTER SCIENCE AND SYSTEMS BIOLOGY
Volume8
Stato di pubblicazionePublished - 2015

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