gecco2011_JonesSoltoggioSendhoffYao.pdf (1.44 MB)
Download file

Evolution of neural symmetry and its coupled alignment to body plan morphology

Download (1.44 MB)
conference contribution
posted on 18.03.2015, 15:37 authored by Ben H. Jones, Andrea SoltoggioAndrea Soltoggio, Bernhard Sendhoff, Xin Yao
Body morphology is thought to have heavily influenced the evolution of neural architecture. However, the extent of this interaction and its underlying principles are largely unclear. To help us elucidate these principles, we examine the artificial evolution of a hypothetical nervous system embedded in a fish-inspired animat. The aim is to observe the evolution of neural structures in relation to both body morphology and required motor primitives. Our investigations reveal that increasing the pressure to evolve a wider range of movements also results in higher levels of neural symmetry. We further examine how different body shapes affect the evolution of neural structure; we find that, in order to achieve optimal movements, the neural structure integrates and compensates for asymmetrical body morphology. Our study clearly indicates that different parts of the animat - specifically, nervous system and body plan - evolve in concert with and become highly functional with respect to the other parts. The autonomous emergence of morphological and neural computation in this model contributes to unveiling the surprisingly strong coupling of such systems in nature.

History

School

  • Science

Department

  • Computer Science

Published in

Genetic and Evolutionary Computation Conference, GECCO'11

Pages

235 - 242

Citation

JONES, B.H. ... et al., 2011. Evolution of neural symmetry and its coupled alignment to body plan morphology. IN: Genetic and Evolutionary Computation Conference, GECCO'11, pp. 235 - 242

Publisher

© ACM

Version

AM (Accepted Manuscript)

Publisher statement

This work is made available according to the conditions of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) licence. Full details of this licence are available at: https://creativecommons.org/licenses/by-nc-nd/4.0/

Publication date

2011

Notes

This is a conference paper.

ISBN

9781450305570

Language

en