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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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Detalles Bibliográficos
Autores principales: DeWolf, Travis, Jaworski, Pawel, Eliasmith, Chris
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7581863/
https://www.ncbi.nlm.nih.gov/pubmed/33162886
http://dx.doi.org/10.3389/fnbot.2020.568359