Biologically-inspired artificial neurons: modeling and applications

1 January 1993

conference paper
Published by Institute of Electrical and Electronics Engineers (IEEE)

Vol. 3, 2300-2303
https://doi.org/10.1109/ijcnn.1993.714185

Abstract

Currently used neural networks employ mostly simple neuron models that greatly differ from the "real" biological neurons. To ensure progress in biology-based neural processing, more advanced neuron models must be developed that better reflect the biological functionality. In this paper, we investigate a neuron model which satisfies such requirements to a much higher degree. We also examine some of its learning properties and look at its applications.

Keywords

This publication has 3 references indexed in Scilit:

Axonal delay lines for time measurement in the owl's brainstem.
Proceedings of the National Academy of Sciences, 1988
An adaptive recursive LMS filter
Proceedings of the IEEE, 1976
A quantitative description of membrane current and its application to conduction and excitation in nerve
The Journal of Physiology, 1952