Learning sequence attractors in recurrent networks with hidden neurons

DOI10.1016/j.neunet.2024.106466zbMATH Open1544.92018MaRDI QIDQ6587017

Yao Lu, Si Wu

Publication date: 13 August 2024

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

zbMATH Keywords

recurrent networkssequence memoryattractor networkssequence attractors

Mathematics Subject Classification ID

Artificial neural networks and deep learning (68T07) Neural networks for/in biological studies, artificial life and related topics (92B20) Memory and learning in psychology (91E40)

Cites Work

• Unnamed Item
• Modeling Brain Function
• High-Dimensional Probability
• Stimulus-Driven and Spontaneous Dynamics in Excitatory-Inhibitory Recurrent Neural Networks for Sequence Representation
• Neural networks and physical systems with emergent collective computational abilities.
• Exponentially Long Orbits in Hopfield Neural Networks
• Learning Patterns and Pattern Sequences by Self-Organizing Nets of Threshold Elements

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