Are Artificial Dendrites useful in NeuroEvolution?
Larry Bull
TL;DR
This paper investigates the impact of incorporating dendrite-inspired mechanisms into neuroevolution, demonstrating that such processing can be positively selected and improve network performance.
Contribution
It introduces a simple dendrite-inspired mechanism into neuroevolution and shows its positive effect on network performance, especially between hidden and output layers.
Findings
Dendrite-inspired processing can be positively selected during neuroevolution.
Including dendritic mechanisms improves network performance.
Separate dendrite activation thresholds emerge through evolution.
Abstract
The significant role of dendritic processing within neuronal networks has become increasingly clear. This letter explores the effects of including a simple dendrite-inspired mechanism into neuroevolution. The phenomenon of separate dendrite activation thresholds on connections is allowed to emerge under an evolutionary process. It is shown how such processing can be positively selected for, particularly for connections between the hidden and output layer, and increases performance.
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