Homeostatic synaptic scaling in self-organizing maps

DOI10.1016/J.NEUNET.2006.05.006zbMath1102.68599OpenAlexW1986753855WikidataQ48493924 ScholiaQ48493924MaRDI QIDQ2506500

Virginia R. de Sa, Thomas J. Sullivan

Publication date: 10 October 2006

Published in: Neural Networks (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.neunet.2006.05.006

zbMATH Keywords

homeostasisself-organizing mapsynaptic scalingweight normalization

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Neural biology (92C20) Neural networks for/in biological studies, artificial life and related topics (92B20)

Related Items (3)

A model of contour extraction including multiple scales, flexible inhibition and attention ⋮ Sleeping Our Way to Weight Normalization and Stable Learning ⋮ Self-organizing neural projections

Cites Work

• Self-organized formation of topologically correct feature maps
• Contour integration and segmentation with self-organized lateral connections
• Self-organizing neural projections
• Effective Neuronal Learning with Ineffective Hebbian Learning Rules
• Synergies Between Intrinsic and Synaptic Plasticity Mechanisms
• Self-organizing maps.

This page was built for publication: Homeostatic synaptic scaling in self-organizing maps