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Nengo and Low-Power AI Hardware for Robust, Embedded Neurorobotics
In this paper we demonstrate how the Nengo neural modeling and simulation libraries enable users to quickly develop robotic perception and action neural networks for simulation on neuromorphic hardware using tools they are already familiar with, such as Keras and Python. We identify four primary cha...
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| Published in: | Front Neurorobot |
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| Main Authors: | , , |
| Format: | Artigo |
| Language: | Inglês |
| Published: |
Frontiers Media S.A.
2020
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| Subjects: | |
| Online Access: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7581863/ https://ncbi.nlm.nih.gov/pubmed/33162886 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3389/fnbot.2020.568359 |
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