Developmental neural heterogeneity through coarse-coding regulation

Jekanthan Thangavelautham, Gabriele M.T. D'Eleuterio

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


A coarse-coding regulatory model that facilitates neural heterogeneity through a morphogenetic process is presented. The model demonstrates cellular and tissue extensibility through ontogeny, resulting in the emergence of neural heterogeneity, use of gated memory and multistate functionality in a Artificial Neural Tissue framework. In each neuron, multiple networks of proteins compete and cooperate for representation through a coarse-coding regulatory scheme. Intracellular competition and cooperation is found to better facilitate evolutionary adaptability and result in simpler solutions than does the use of homogeneous binary neurons. The emergent use of gated memory functions within this cell model is found to be more effective than recurrent architectures for memory-dependent variants of the unlabeled sign-following robotic task.

Original languageEnglish (US)
Title of host publicationAdvances in Artificial Life - 9th European Conference, ECAL 2007, Proceedings
Number of pages11
ISBN (Print)9783540749127
StatePublished - 2007
Externally publishedYes
Event9th European Conference on Advance in Artificial Life, ECAL 2007 - Lisbon, Portugal
Duration: Sep 10 2007Sep 14 2007

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume4648 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Conference9th European Conference on Advance in Artificial Life, ECAL 2007

ASJC Scopus subject areas

  • Theoretical Computer Science
  • General Computer Science


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