A coarse-coding framework for a gene-regulatory-based artificial neural tissue

Jekanthan Thangavelautham, Gabriele M T D'Eleuterio

Research output: Chapter in Book/Report/Conference proceedingConference contribution

9 Citations (Scopus)

Abstract

A developmental Artificial Neural Tissue (ANT) architecture inspired by the mammalian visual cortex is presented. It is shown that with the effective use of gene regulation that large phenotypes in the form of Artificial Neural Tissues do not necessarily pose an impediment to evolution. ANT includes a Gene Regulatory Network that controls cell growth/death arid activation/inhibition of the tissue based on a coarse-coding framework. This scalable architecture can facilitate emergent (self-organized) task decomposition and require limited task specific information compared with fixed topologies. Only a global fitness function (without biasing a particular task decomposition strategy) is specified and self-organized task decomposition is achieved through a process of gene regulation, competitive coevolution, cooperation and specialization.

Original languageEnglish (US)
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Pages67-77
Number of pages11
Volume3630 LNAI
DOIs
StatePublished - 2005
Externally publishedYes
Event8th European Conference on Advances in Artificial Life, ECAL 2005 - Canterbury, United Kingdom
Duration: Sep 5 2005Sep 9 2005

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume3630 LNAI
ISSN (Print)03029743
ISSN (Electronic)16113349

Other

Other8th European Conference on Advances in Artificial Life, ECAL 2005
CountryUnited Kingdom
CityCanterbury
Period9/5/059/9/05

Fingerprint

Regulator Genes
Gene Regulation
Coding
Genes
Tissue
Gene
Decompose
Decomposition
Gene expression
Visual Cortex
Coevolution
Gene Regulatory Network
Specialization
Fitness Function
Phenotype
Activation
Gene Regulatory Networks
Cell growth
Topology
Cell Death

ASJC Scopus subject areas

  • Computer Science(all)
  • Biochemistry, Genetics and Molecular Biology(all)
  • Theoretical Computer Science

Cite this

Thangavelautham, J., & D'Eleuterio, G. M. T. (2005). A coarse-coding framework for a gene-regulatory-based artificial neural tissue. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 3630 LNAI, pp. 67-77). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 3630 LNAI). https://doi.org/10.1007/11553090_8

A coarse-coding framework for a gene-regulatory-based artificial neural tissue. / Thangavelautham, Jekanthan; D'Eleuterio, Gabriele M T.

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 3630 LNAI 2005. p. 67-77 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 3630 LNAI).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Thangavelautham, J & D'Eleuterio, GMT 2005, A coarse-coding framework for a gene-regulatory-based artificial neural tissue. in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). vol. 3630 LNAI, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 3630 LNAI, pp. 67-77, 8th European Conference on Advances in Artificial Life, ECAL 2005, Canterbury, United Kingdom, 9/5/05. https://doi.org/10.1007/11553090_8
Thangavelautham J, D'Eleuterio GMT. A coarse-coding framework for a gene-regulatory-based artificial neural tissue. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 3630 LNAI. 2005. p. 67-77. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). https://doi.org/10.1007/11553090_8
Thangavelautham, Jekanthan ; D'Eleuterio, Gabriele M T. / A coarse-coding framework for a gene-regulatory-based artificial neural tissue. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 3630 LNAI 2005. pp. 67-77 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
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