Johannes W. Austefjord, Verena Brehm, Serban Lepadatu, Alireza Qaiumzadeh

Despite the rapid development of powerful supercomputers in recent years, the human brain still has some abilities that outperform modern computers which are based on the von Neumann architecture. The human brain is much more energy efficient than state-of-the-art digital computers and can at the same time perform complex tasks such as pattern recognition. The brain-inspired neuromorphic computing paradigm is a promising path towards next generation analogue computers with fundamentally different architecture. The building blocks of the human brain are neurons with leaky integrate-and-fire mechanisms. In this work, using the advantage of antiferromagnetic insulators, we propose a non-volatile spintronic-based neuron. In our proposal, an antiferromagnetic domain wall in the presence of a magnetic anisotropy gradient mimics a biological neuron with leaky and integrative properties. This single neuron is controlled by polarized antiferromagnetic magnons, activated by either a magnetic field pulse or a spin transfer torque mechanism. We propose that this single neuron, based on antiferromagnetic insulators, is faster and more energy efficient than other metallic ferromagnetic-based neurons.