Dynamical phase transition in a neural network model with noise: An exact solution

DOI10.1023/A:1015777824097zbMath1024.82019arXivcond-mat/0202411MaRDI QIDQ1863027

Cristián Huepe, Maximino Aldana-González

Publication date: 11 March 2003

Published in: Journal of Statistical Physics (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/cond-mat/0202411

zbMATH Keywords

noiseneural networkphase transitionorganization

Mathematics Subject Classification ID

Neural networks for/in biological studies, artificial life and related topics (92B20) Dynamic lattice systems (kinetic Ising, etc.) and systems on graphs in time-dependent statistical mechanics (82C20) Neural nets applied to problems in time-dependent statistical mechanics (82C32)

Related Items (5)

Entropy analysis of Boolean network reduction according to the determinative power of nodes ⋮ Boundary conditions and phase transitions in neural networks. Theoretical results ⋮ Logical reduction of biological networks to their most determinative components ⋮ On the sensitivity to noise of a Boolean function ⋮ Solvability and control design for synchronization of Boolean networks

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