Litcius/Paper detail

Biskyrmion-based artificial neuron

Ismael Ribeiro de Assis, Ingrid Mertig, Börge Göbel

2023Neuromorphic Computing and Engineering15 citationsDOIOpen Access PDF

Abstract

Abstract Magnetic skyrmions are nanoscale magnetic whirls that are highly stable and can be moved by currents. They have led to the prediction of a skyrmion-based artificial neuron device with leak-integrate-fire functionality. However, so far, these devices lack a refractory process, estimated to be crucial for neuronal dynamics. Here we demonstrate that a biskyrmion-based artificial neuron overcomes this insufficiency. When driven by spin-orbit torques, a single biskyrmion splits into two subskyrmions that move towards a designated location and can be detected electrically, ultimately resembling the excitation process of a neuron that fires. The attractive interaction of the two skyrmions leads to a unique trajectory: Once they reach the detector area, they automatically return to the center to reform the biskyrmion but on a different path. During this reset period, the neuron cannot fire again. Our suggested device resembles a biological neuron with the leak, integrate, fire and refractory characteristics increasing the bio-fidelity of current skyrmion-based devices.

Topics & Concepts

SkyrmionArtificial neuronComputer scienceNeuronProcess (computing)PhysicsArtificial intelligenceControl theory (sociology)Artificial neural networkNeuroscienceBiologyParticle physicsControl (management)Operating systemMagnetic properties of thin filmsAdvanced Memory and Neural ComputingFerroelectric and Negative Capacitance Devices