Adaptive balancing of exploration and exploitation around the edge of chaos in internal-chaos-based learning

DOI10.1016/j.neunet.2020.08.002zbMath1475.68284OpenAlexW3048937336WikidataQ99622459 ScholiaQ99622459MaRDI QIDQ2057742

Katsunari Shibata, Toshitaka Matsuki

Publication date: 7 December 2021

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

Full work available at URL: https://doi.org/10.1016/j.neunet.2020.08.002

zbMATH Keywords

chaotic neural networkreservoir computingexploration-exploitation dilemmaedge of chaosreward-modulated Hebbian learning

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Strange attractors, chaotic dynamics of systems with hyperbolic behavior (37D45)

Related Items (1)

Sensitivity -- local index to control chaoticity or gradient globally

Uses Software

• ImageNet
• AlexNet

Cites Work

• Edge of chaos and prediction of computational performance for neural circuit models
• Real-Time Computing Without Stable States: A New Framework for Neural Computation Based on Perturbations
• The criticality hypothesis: how local cortical networks might optimize information processing

This page was built for publication: Adaptive balancing of exploration and exploitation around the edge of chaos in internal-chaos-based learning