Artificial evolution: modelling the development of the retina

A.G. Rust, R.G. Adams, S. George, H. Bolouri

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Abstract

The evolution of neural systems relies on the repeated modification of developmental programmes contained within genes. This paper proposes that to efficiently investigate artificial evolution, developmental processes must first be characterised and encoded. The development processes themselves are inherently simple, representing a form of emergent self-organisation. A model of artificial neural structure self-organisation is presented, where development occurs across different levels of scale and development processes are divided into phases. Within this framework, a Developmental Artificial Neural Network (DANN) has been implemented to model the growth of neuron-neuron connections in both 2D and 3D. The development of a biologically inspired, artifcial retina is being investigated. This is believed to be the first reported 3D DANN.
Original languageEnglish
PublisherUniversity of Hertfordshire
Publication statusPublished - 1996

Publication series

NameUH Computer Science technical Report
PublisherUniversity of Hertfordshire
Volume255

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