Regenerative memory in time-delayed neuromorphic photonic systems

TL;DR

This paper explores a regenerative memory system using a time-delayed neuromorphic photonic oscillator, linking experimental optoelectronic implementation with neural models to advance photonic neural computing.

Contribution

It introduces a novel regenerative memory based on a time-delayed neuromorphic photonic oscillator with experimental validation.

Findings

Demonstrated regenerative memory in a nanoscale optoelectronic system

Linked photonic oscillator dynamics to neural activity models

Showed potential for photonic neural computing applications

Abstract

We investigate a regenerative memory based upon a time-delayed neuromorphic photonic oscillator and discuss the link with temporal localized structures. Our experimental implementation is based upon a optoelectronic system composed of a nanoscale nonlinear resonant tunneling diode coupled to a laser that we link to the paradigm of neuronal activity, the FitzHugh-Nagumo model with delayed feedback.