Discrete Event System Modeling of Neuromorphic Circuits

TL;DR

This paper investigates converting continuous-time neuromorphic circuit models into discrete-event models to facilitate analysis and design of neuromorphic control systems.

Contribution

It introduces a methodology for extracting discrete-event models from physical neuromorphic circuits, enabling improved analysis and design.

Findings

Discrete-event models can accurately represent neuromorphic circuit behaviors.

The methodology aids in the analysis of neuromorphic control systems.

Potential for enhanced design processes in neuromorphic engineering.

Abstract

Excitable neuromorphic circuits are physical models of event behaviors: their continuous-time trajectories consist of sequences of discrete events. This paper explores the possibility of extracting a discrete-event model out of the physical continuous-time model. We discuss the potential of this methodology for analysis and design of neuromorphic control systems.