The Multi-Adaptive Threshold Model in Mathematical Neuroscience and Its Results
Title
The Multi-Adaptive Threshold Model in Mathematical Neuroscience and Its Results
Subject
Statistics
Creator
Yat Hong Byron Lam
Date
2025
Contributor
Dr. Massimiliano Tamborrino
Abstract
The Multi-Adaptive Threshold Model is a system of equations that describe an action potential for a neuron cell. What is special about this model is that the spiking threshold, which is the threshold of potential required for a neuron cell to spike, adapts with time instead of being constant. The external input current of the neuron is also a stochastic process, and therefore the neuron potential also isn’t deterministic. This project looks at the theoretical properties of the system of equations, plots the system of equations features in the spiking times of neuron cells.
Files
Collection
Citation
Yat Hong Byron Lam, “The Multi-Adaptive Threshold Model in Mathematical Neuroscience and Its Results,” URSS SHOWCASE, accessed November 2, 2025, https://linen-dog.lnx.warwick.ac.uk/items/show/904.