Homeostatic plasticity improves signal propagation in continuous time recurrent neural networks
Continuous-time recurrent neural networks (CTRNNs) are potentially an excellent substrate for the generation of adaptive behaviour in artificial autonomous agents. However, node saturation effects in these networks can leave them insensitive to input and stop signals from propagating. Node saturatio...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
2007-02.
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| Subjects: | |
| Online Access: | Get fulltext |