Not sure if anyone posted the European patent application. The US was posted previously.
data.epo.org
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The active power consumption of a neuromorphic hardware is mainly contributed by the spiking network’s total
number of synaptic operations (SOP). Following (7) and the method mentioned in Sorbaro et al.
This converted SNN can be implemented on neuromorphic platforms such as Brainchip Akida (e.g., refer "Brainchip
unveils the akidatm development environment.," https://www.brainchipinc.com/news-media/pressreleases/detail/61/brainchip-unveils-the-akida-developmentenvironment, 2019"), Intel® Loihi (e.g., refer "Mike Davies.et.al, "Advancing neuromorphic computing with loihi: A survey of results and outlook," Proceedings of the IEEE, vol. 109, no. 5,
pp. 911-934, 2021."), etc. to achieve further power benefit (~100x). FIG. 9 shows the confusion matrix for converted
SNN for 8 gesture classes.