Probabilistic inference of binary Markov random fields in spiking neural networks through mean-field approximation
Yajing Zheng, Shanshan Jia, Zhaofei Yu, Tiejun Huang, Jian K. Liu, Yonghong Tian
Topics & Concepts
InferenceGraphical modelMarkov random fieldBelief propagationProbabilistic logicComputer scienceRandom fieldArtificial intelligenceMarkov chainMarkov processArtificial neural networkMarkov modelAlgorithmPattern recognition (psychology)Machine learningMathematicsStatisticsDecoding methodsImage (mathematics)Image segmentationNeural dynamics and brain functionAdvanced Memory and Neural ComputingNeural Networks and Applications