Simulation of neural function in an artificial Hebbian network

2 Dec 2019J. Campbell ScottThomas F. HayesAhmet S. OzcanWinfried W. Wilcke

Artificial neural networks have diverged far from their early inspiration in neurology. In spite of their technological and commercial success, they have several shortcomings, most notably the need for a large number of training examples and the resulting computation resources required for iterative learning... (read more)

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