A Practical Guide to Tuning Spiking Neuronal Dynamics
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arXiv
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| Main Authors: | , , , , |
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| Format: | Preprint |
| Published: |
2025
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| _version_ | 1866916787131514880 |
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| author | Gebhardt, William Ororbia, Alexander G. McDonald, Nathan Thiem, Clare Lombardi, Jack |
| author_facet | Gebhardt, William Ororbia, Alexander G. McDonald, Nathan Thiem, Clare Lombardi, Jack |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2506_08138 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | A Practical Guide to Tuning Spiking Neuronal Dynamics Gebhardt, William Ororbia, Alexander G. McDonald, Nathan Thiem, Clare Lombardi, Jack Neural and Evolutionary Computing Neurons and Cognition 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. |
| title | A Practical Guide to Tuning Spiking Neuronal Dynamics |
| topic | Neural and Evolutionary Computing Neurons and Cognition |
| url | https://arxiv.org/abs/2506.08138 |