Random synaptic feedback weights support error backpropagation for deep learning
Multi-layered neural architectures that implement learning require elaborate mechanisms for symmetric backpropagation of errors that are biologically implausible. Here the authors propose a simple resolution to this problem of blame assignment that works even with feedback using random synaptic weig...
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| Main Authors: | , , , |
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| Format: | article |
| Language: | EN |
| Published: |
Nature Portfolio
2016
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| Subjects: | |
| Online Access: | https://doaj.org/article/7c2d8359409f40dc8a188044a42e7c68 |
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