Recurrent neural network architecture with pre-synaptic inhibition for incremental learning

DOI10.1016/J.NEUNET.2006.06.005zbMath1101.92002OpenAlexW1988241771WikidataQ48416178 ScholiaQ48416178MaRDI QIDQ853278

Yukio-Pegio Gunji, Hiroyuki Ohta

Publication date: 15 November 2006

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

Full work available at URL: https://doi.org/10.1016/j.neunet.2006.06.005

zbMATH Keywords

decision makingrecurrent neural networkanticipationincremental learningrealization problemaffection

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Neural networks for/in biological studies, artificial life and related topics (92B20) Circuits, networks (94C99) Problem solving in the context of artificial intelligence (heuristics, search strategies, etc.) (68T20)

Cites Work

• Adjoint machines, state-behavior machines, and duality
• The spatiotemporal learning rule and its efficiency in separating spatiotemporal patterns
• Self-organizing maps.

This page was built for publication: Recurrent neural network architecture with pre-synaptic inhibition for incremental learning