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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...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Frontiers Media S.A.
2020
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7523181/ https://www.ncbi.nlm.nih.gov/pubmed/33041778 http://dx.doi.org/10.3389/fnbot.2020.00062 |