Adaptive motor control and learning in a spiking neural network realised on a mixed-signal neuromorphic processor

Neuromorphic computing is a new paradigm for design of both the computing hardware and algorithms inspired by biological neural networks. The event-based nature and the inherent parallelism make neuromorphic computing a promising paradigm for building efficient neural network based architectures for...

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Bibliographic Details

Published in:	2019 International Conference on Robotics and Automation (ICRA) pp. 9631 - 9637
Main Authors:	Glatz, Sebastian, Martel, Julien, Kreiser, Raphaela, Qiao, Ning, Sandamirskaya, Yulia
Format:	Conference Proceeding
Language:	English
Published:	IEEE 01-05-2019
Subjects:	Biological neural networks Computer architecture Neuromorphics Neurons Robot sensing systems Sociology
Online Access:	Get full text
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