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...
Main Authors: | Simón C. Smith, Richard Dharmadi, Calum Imrie, Bailu Si, J. Michael Herrmann |
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Format: | Article |
Language: | English |
Published: |
Frontiers Media S.A.
2020-09-01
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Series: | Frontiers in Neurorobotics |
Subjects: | |
Online Access: | https://www.frontiersin.org/article/10.3389/fnbot.2020.00062/full |
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