Research data supporting "Emergent Patterns from Probabilistic Generalisations of Lateral Activation and Inhibition"
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Authors
Willis, Lisa
Kabla, Alexandre
Publication Date
2015-12-21Type
Dataset
Metadata
Show full item recordCitation
Willis, L., & Kabla, A. (2015). Research data supporting "Emergent Patterns from Probabilistic Generalisations of Lateral Activation and Inhibition" [Dataset]. https://doi.org/10.17863/CAM.68978
Description
These videos support "Emergent Patterns from Probabilistic Generalisations of Lateral Activation and Inhibition" which will be published in the Journal of Royal Society Interface. This record will be updated with publication details.
Abstract
The combination of laterally activating and inhibiting feedbacks is well known to spontaneously generate spatial organisation. It was introduced by Gierer and Meinhardt as an extension of Turing's great insight, that two reacting and diffusing chemicals can spontaneously drive spatial morphogenesis per se. In this study, we develop an accessible nonlinear and discrete probabilistic model to study simple generalisations of lateral activation and inhibition. By doing so, we identify novel modes of morphogenesis beyond the familiar Turing-type modes; notably, beyond stripes, hexagonal nets, pores, and labyrinths, we identify labyrinthine highways, Kagome lattices, gyrating labyrinths, and multi-colour travelling waves and spirals. The results are discussed within the context of Turing's original motivating interest: the mechanisms which underpin the morphogenesis of living organisms.
This repository contains the supplementary movies of the paper.
http://biorxiv.org/content/early/2015/12/15/033951
Keywords
Research Subject Categories::NATURAL SCIENCES::Biology::Organism biology::Developmental biology, Research Subject Categories::TECHNOLOGY::Engineering physics::Biophysics
Relationships
Publication Reference: https://doi.org/10.1098/rsif.2015.1077
Identifiers
This record's DOI: https://doi.org/10.17863/CAM.68978
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