Complex Learning in Bio-plausible Memristive Networks
The emerging memristor-based neuromorphic engineering promises an efficient computing paradigm. However, the lack of both internal dynamics in the previous feedforward memristive networks and efficient learning algorithms in recurrent networks, fundamentally limits the learning ability of existing s...
| Main Authors: | , , , , , , , , |
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| Format: | Online |
| Language: | English |
| Published: |
Nature Publishing Group
2015
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| Online Access: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4473596/ |