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Adaptive motor control and learning in a spiking neural network realised on a mixed-signal neuromorphic processor
[article]
2018
arXiv
pre-print
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 control of fast and agile robots. In this paper, we present a spiking neural network architecture that uses sensory feedback to control rotational velocity of a robotic vehicle. When the velocity
arXiv:1810.10801v1
fatcat:lgscximbrnampn5okdqeb5y5lm