Spike-Based Probabilistic Inference in Analog Graphical Models Using Interspike-Interval Coding.
Andreas SteimerRodney J. DouglasPublished in: Neural Comput. (2013)
Keyphrases
- graphical models
- probabilistic inference
- spike trains
- approximate inference
- belief propagation
- random variables
- probabilistic model
- bayesian networks
- probabilistic graphical models
- belief networks
- influence diagrams
- markov networks
- probabilistic reasoning
- structure learning
- exact inference
- bayesian belief networks
- machine learning
- loopy belief propagation
- graph structure
- conditional random fields
- dynamic programming
- factor graphs
- statistical relational learning
- possibilistic networks