A proposal for leaky integrate-and-fire neurons by domain walls in antiferromagnetic insulators.

ABSTRACT: Brain-inspired neuromorphic computing is a promising path towards next generation analogue computers that are fundamentally different compared to the conventional von Neumann architecture. One model for neuromorphic computing that can mimic the human brain behavior are spiking neural networks (SNNs), of which one of the most successful is the leaky integrate-and-fire (LIF) model. Since conventional complementary metal-oxide-semiconductor (CMOS) devices are not meant for modelling neural networks and are energy inefficient in network applications, recently the focus shifted towards spintronic-based neural networks. In this work, using the advantage of antiferromagnetic insulators, we propose a non-volatile magnonic neuron that could be the building block of a LIF spiking neuronal network. I

SUBMITTER: Brehm V 

PROVIDER: S-EPMC10435549 | biostudies-literature | 2023 Aug

REPOSITORIES: biostudies-literature