Describing Functions and Phase Response Curves of Excitable Systems

TL;DR

This paper introduces a new analytical framework for describing functions and phase response curves tailored to excitable systems, enhancing analysis and design of neural networks and rhythmic behaviors.

Contribution

It proposes a novel approach based on discrete-event operator mapping, specifically addressing limitations of classical tools in networks of excitable and relaxation oscillators.

Findings

Framework applied to Hodgkin-Huxley model

Enables better analysis of neural pattern generators

Facilitates design of neuromorphic control systems

Abstract

The describing function (DF) and phase response curve (PRC) are classical tools for the analysis of feedback oscillations and rhythmic behaviors, widely used across control engineering, biology, and neuroscience. These tools are known to have limitations in networks of relaxation oscillators and excitable systems. For this reason, the paper proposes a novel approach tailored to excitable systems. Our analysis focuses on the discrete-event operator mapping input trains of events to output trains of events. The methodology is illustrated on the excitability model of Hodgkin-Huxley. The proposed framework provides a basis for designing and analyzing central pattern generators in networks of excitable neurons, with direct relevance to neuromorphic control and neurophysiology.