Classification and regression of spatio-temporal signals using NeuCube and its realization on SpiNNaker neuromorphic hardware

Abstract

This work provides a proof of concept for a successful implementation of the NeuCube spiking model on the SpiNNaker neuromorphic platform for raw sEMG and EEG decoding, which could chart a route ahead for a new generation of portable closed-loop and low-power neuroprostheses.