Local online learning in recurrent networks with random feedback
Recurrent neural networks (RNNs) enable the production and processing of time-dependent signals such as those involved in movement or working memory. Classic gradient-based algorithms for training RNNs have been available for decades, but are inconsistent with biological features of the brain, such...
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| Format: | Article |
| Language: | English |
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eLife Sciences Publications Ltd
2019-05-01
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| Series: | eLife |
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| Online Access: | https://elifesciences.org/articles/43299 |