| name | single-entity-spiking-neuron-models-survey |
| description | In this work, we reviewed different approaches in mathematical modeling of biologically plausible neural systems. Models are characterized and classified based on their common features and special use. Based on arXiv:2607.07429. |
Single-Entity Spiking Neuron Models: Survey
arXiv: 2607.07429 | Authors: Leon Parepko, Danila Shulepin, Albert Nasybullin | Utility: 0.88
Overview
In this work, we reviewed different approaches in mathematical modeling of biologically plausible neural systems. Models are characterized and classified based on their common features and special use cases. In addition to spiking models, different types of discrete and continuous analogs are considered to accurately simulate biological processes, including membrane potential dynamics. The models under investigation include neurons and various components encountered in neural systems and affected the dynamics. The selection of specific approaches was driven by their prevalence and innovative perspectives in order to enhance the relevance of the presented information.
Key Contributions
- In this work, we reviewed different approaches in mathematical modeling of biologically plausible neural systems.
- Models are characterized and classified based on their common features and special use cases.
- In addition to spiking models, different types of discrete and continuous analogs are considered to accurately simulate biological processes, including membrane potential dynamics.
- The models under investigation include neurons and various components encountered in neural systems and affected the dynamics.
Implementation Notes
- Keywords: spiking-neural
- Categories: cs.NE, q-bio.NC
- Published: 2026-07-08
Activation Criteria
Use this skill when working on tasks involving: spiking-neural.
