Information flow in layered networks of non-monotonic units
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Publication:3302348
DOI10.1088/1742-5468/2015/07/P07022zbMath1456.94027OpenAlexW2359413689MaRDI QIDQ3302348
Fabio Schittler Neves, Benno Martim Schubert, R. Erichsen
Publication date: 11 August 2020
Published in: Journal of Statistical Mechanics: Theory and Experiment (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1088/1742-5468/2015/07/p07022
Neural networks for/in biological studies, artificial life and related topics (92B20) Strange attractors, chaotic dynamics of systems with hyperbolic behavior (37D45) Information theory (general) (94A15)
Cites Work
- Retrieval and chaos in extremely diluted non-monotonic neural networks
- Layered neural networks with non-monotonic transfer functions
- Modeling Brain Function
- Retrieval phase diagrams of non-monotonic Hopfield networks
- Generalization and chaos in a layered neural network
- Neural networks and physical systems with emergent collective computational abilities.
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