Integrating magnetic skyrmions into neuromorphic computing could help improve hardware efficiency and computational power. However, developing a scalable implementation of the weighted sum of neuron signals—a core operation in neural networks—has remained a challenge. In the publication we show that weighted sum operations can be performed in a compact, biologically inspired

manner by using the non-volatile and particle-like characteristics of magnetic skyrmions that make them easily countable and summable.