Somatodendritic consistency check for temporal feature segmentation
The authors propose a learning rule for a neuron model with dendrite. In their model, somatodendritic interaction implements self-supervised learning applicable to a wide range of sequence learning tasks, including spike pattern detection, chunking temporal input and blind source separation.
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Nature Publishing Group
2020-03-01
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| Series: | Nature Communications |
| Online Access: | https://doi.org/10.1038/s41467-020-15367-w |