A Practical Guide to Tuning Spiking Neuronal Dynamics
Neural and Evolutionary Computing
2025-06-11 v1 Neurons and Cognition
Abstract
In this work, we examine fundamental elements of spiking neural networks (SNNs) as well as how to tune them. Concretely, we focus on two different foundational neuronal units utilized in SNNs -- the leaky integrate-and-fire (LIF) and the resonate-and-fire (RAF) neuron. We explore key equations and how hyperparameter values affect behavior. Beyond hyperparameters, we discuss other important design elements of SNNs -- the choice of input encoding and the setup for excitatory-inhibitory populations -- and how these impact LIF and RAF dynamics.
Keywords
Cite
@article{arxiv.2506.08138,
title = {A Practical Guide to Tuning Spiking Neuronal Dynamics},
author = {William Gebhardt and Alexander G. Ororbia and Nathan McDonald and Clare Thiem and Jack Lombardi},
journal= {arXiv preprint arXiv:2506.08138},
year = {2025}
}