Dynamical properties of neuromorphic Josephson junctions

TL;DR

This paper investigates the dynamical behavior of Josephson Junction-based neurons, revealing complex mechanisms and behaviors that enhance the understanding and design of superconducting neuromorphic computing devices.

Contribution

It identifies the specific dynamical mechanisms of Josephson Junction neurons and uncovers new complex behaviors relevant for neuromorphic system design.

Findings

Revealed complex dynamical behaviors of Josephson Junction neurons

Identified underlying mechanisms for neuron-like properties

Enhanced understanding for superconducting neuromorphic device design

Abstract

Neuromorphic computing exploits the dynamical analogy between many physical systems and neuron biophysics. Superconductor systems, in particular, are excellent candidates for neuromorphic devices due to their capacity to operate in great speeds and with low energy dissipation compared to their silicon counterparts. In this study we revisit a prior work on Josephson Junction-based "neurons" in order to identify the exact dynamical mechanisms underlying the system's neuron-like properties and reveal new complex behaviors which are relevant for neurocomputation and the design of superconducting neuromorphic devices. Our work lies at the intersection of superconducting physics and theoretical neuroscience, both viewed under a common framework, that of nonlinear dynamics theory.