A biologically plausible maturation of an ART network

Maartje E.J. Raijmakers, Peter Molenaar

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

Abstract

We present a numerical bifurcation analysis of a shunting neural network (SNN). Fold bifurcations appear to occur in the plane of parameters that are subject to post-natal maturation: the range and strength of lateral connections. The SNN is implemented as a content addressable memory (CAM) in Exact ART, a complete implementation of Adaptive Resonance Theory. The stability and functionality of Exact ART with the CAM in different dynamic regimes is maintained. Moreover, through a bifurcation, the learning behavior of Exact ART changes from forming local representations to forming distributed representations. Presently, we extend Exact ART by adding biologically plausible evolution equations for activation dependent maturation of lateral connections in a SNN (Van Ooyen et al., 1995). The resulting model is an epigenetic model of both morphological development and cognitive behavioral development.

Original languageEnglish (US)
Title of host publicationFoundations and Tools for Neural Modeling - International Work-Conference on Artificial and Natural Neural Networks, IWANN 1999, Proceedings
EditorsJosé Mira, Juan V. Sánchez-Andrés
PublisherSpringer Verlag
Pages730-736
Number of pages7
ISBN (Print)3540660690, 9783540660699
DOIs
StatePublished - Jan 1 1999
Event5th International Work-Conference on Artificial and Natural Neural Networks, IWANN 1999 - Alicante, Spain
Duration: Jun 2 1999Jun 4 1999

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume1606
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other5th International Work-Conference on Artificial and Natural Neural Networks, IWANN 1999
CountrySpain
CityAlicante
Period6/2/996/4/99

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)

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