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The DIAMOND Model: Deep Recurrent Neural Networks for Self-Organizing Robot Control
The proposed architecture applies the principle of predictive coding and deep learning in a brain-inspired approach to robotic sensorimotor control. It is composed of many layers each of which is a recurrent network. The component networks can be spontaneously active due to the homeokinetic learning...
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| Publicat a: | Front Neurorobot |
|---|---|
| Autors principals: | , , , , |
| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
Frontiers Media S.A.
2020
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| Matèries: | |
| Accés en línia: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7523181/ https://ncbi.nlm.nih.gov/pubmed/33041778 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3389/fnbot.2020.00062 |
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