A PERTURBATIVE APPROACH TO NONLINEARITIES IN THE INFORMATION CARRIED BY A TWO LAYER NEURAL NETWORK

DOI10.1142/S0217979201004496zbMath1192.81084arXivcond-mat/0010249OpenAlexW3101032897MaRDI QIDQ3583523

No author found.

Publication date: 17 August 2010

Published in: International Journal of Modern Physics B (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/cond-mat/0010249

zbMATH Keywords

mutual informationinformation theoryFeynman diagramsinfomax

Mathematics Subject Classification ID

Quantum computation (81P68)

Cites Work

• A Mathematical Theory of Communication
• Threshold-linear formal neurons in auto-associative nets
• The mutual information of a stochastic binary channel: validity of the replica symmetry ansatz
• Information processing by a perceptron in an unsupervised learning task
• Information processing by a noisy binary channel
• Maximization of mutual information in a linear noisy network: a detailed study

This page was built for publication: A PERTURBATIVE APPROACH TO NONLINEARITIES IN THE INFORMATION CARRIED BY A TWO LAYER NEURAL NETWORK