Theories of error back-propagation in the brain
This review summarizes recently proposed theories on how neural circuits in the brain could approximate the error back-propagation algorithm employed by artificial neural networks. Computational models implementing these theories achieve learning as efficient as artificial neural networks but they u...
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| Formato: | Journal article |
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Elsevier
2019
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