1- E-prop on SpiNNaker 2
E-prop on SpiNNaker 2: Exploring online learning in spiking RNNs on neuromorphic hardware
A Rostami, B Vogginger, Y Yexin, C G Mayr
Frontiers in Neuroscience, November 2022
-
Summary:
We implement the E-prop algorithm on a prototype of the SpiNNaker 2 neuromorphic system. A parallelization strategy is developed to split and train networks on the ARM cores of SpiNNaker 2 to make efficient use of both memory and compute resources. We trained an SRNN from scratch on SpiNNaker 2 in real-time on the Google Speech Command dataset for keyword spotting. -
TensorFlow v2 and C codes are available publicly at:
https://gitlab.com/tud-hpsn/public/e-prop-on-gsc/
