Mathematical theory of neural learning

DOI10.1007/BF03037088zbMath0712.68079OpenAlexW2072614634WikidataQ114960995 ScholiaQ114960995MaRDI QIDQ749225

Shun-ichi Amari

Publication date: 1991

Published in: New Generation Computing (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/bf03037088

zbMATH Keywords

self-organizationneural categorizerneural learningtopological map

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05)

Related Items (6)

Global exponential p-stability in Cohen-Grossberg-type bidirectional associative memory neural networks with transmission delays and learning behavior ⋮ Existence and global attractivity of almost periodic solutions for neural field with time delay ⋮ Multistable learning dynamics in second-order neural networks with time-varying delays ⋮ Boundedness and Stability for Integrodifferential Equations Modeling Neural Field with Time Delay ⋮ Learning dynamics in second order networks ⋮ Aτ-type stability criteria in division regions for multitime-scale networks with delays

Cites Work

• Self-organization and associative memory
• Formation of topographic maps and columnar microstructures in nerve fields
• Self-organized formation of topologically correct feature maps
• Topographic organization of nerve fields
• Neural theory of association and concept-formation
• Mathematical theory on formation of category detecting nerve cells
• Field theory of self-organizing neural nets
• New Classes of Synchronous Codes

This page was built for publication: Mathematical theory of neural learning