Neural network implementation of inference on binary Markov random fields with probability coding

DOI10.1016/j.amc.2016.12.025zbMath1411.92010OpenAlexW2568806340MaRDI QIDQ1735263

Feng Chen, Zhaofei Yu, Jianwu Dong

Publication date: 28 March 2019

Published in: Applied Mathematics and Computation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.amc.2016.12.025

zbMATH Keywords

Hopfield networkMarkov random fieldsapproximate inferenceneural network implementationprobability coding

Mathematics Subject Classification ID

Neural networks for/in biological studies, artificial life and related topics (92B20)

Related Items (1)

Probabilistic inference of binary Markov random fields in spiking neural networks through mean-field approximation

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• Modeling Stereopsis via Markov Random Field
• Cortical Circuitry Implementing Graphical Models
• Information capacity of the Hopfield model
• Bayesian Computation in Recurrent Neural Circuits

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