From Neuronal Models to Neuronal Dynamics and Image Processing
Abstract
This paper is an introduction to the membrane potential equation for neurons. Its properties are described, as well as sample applications. Networks of these equations can be used for modeling neuronal systems, which also process images and video sequences, respectively. Specifically, (i) a dynamic retina is proposed (based on a reaction-diffusion system), which predicts afterimages and simple visual illusions, (ii) a system for texture segregation (texture elements are understood as even-symmetric contrast features), and (iii) a network for detecting object approaches (inspired by the locust visual system).
Cite
@article{arxiv.1801.08585,
title = {From Neuronal Models to Neuronal Dynamics and Image Processing},
author = {Matthias S. Keil},
journal= {arXiv preprint arXiv:1801.08585},
year = {2018}
}
Comments
First published as chapter 10 in the Wiley book "Biologically Inspired Computer Vision: Fundamentals and Applications". (ISBN: 978-3-527-68047-4)