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...
| Main Authors: | , |
|---|---|
| 格式: | Journal article |
| 出版: |
Elsevier
2019
|