A Behavioural Perspective on the Early Evolution of Nervous Systems: A Computational Model of Excitable Myoepithelia
Ronald A. J. van Elburg, Oltman O. de Wiljes, Michael Biehl, Fred A., Keijzer

TL;DR
This paper explores the early evolution of nervous systems through a computational model of excitable myoepithelia, suggesting a two-stage evolutionary process supported by simulations that show primitive coordination in small animals.
Contribution
It introduces a computational model demonstrating how chemical transmission in contractile tissues could have evolved into more complex nervous systems, supporting a two-stage evolutionary scenario.
Findings
Chemical transmission can produce body-scale patterns in small animals.
Noise in chemical signalling limits coordination in larger animals.
A two-stage evolution of nervous systems is a plausible scenario.
Abstract
How the very first nervous systems evolved remains a fundamental open question. Molecular and genomic techniques have revolutionized our knowledge of the molecular ingredients behind this transition but not yet provided a clear picture of the morphological and tissue changes involved. Here we focus on a behavioural perspective that centres on movement by muscle contraction. Building on the finding that molecules for chemical neural signalling predate multicellular animals, we investigate a gradual evolutionary scenario for nervous systems that consists of two stages: A) Chemically transmission of electrical activity between adjacent cells provided a primitive form of muscle coordination in a contractile epithelial tissue. B) This primitive form of coordination was subsequently improved upon by evolving the axodendritic processes of modern neurons. We use computer simulations to…
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Taxonomy
TopicsNeural dynamics and brain function · Plant and Biological Electrophysiology Studies · Photoreceptor and optogenetics research
