Simulation of bayesian learning and inference on distributed stochastic spiking neural networks.
Khadeer AhmedAmar ShresthaQinru QiuPublished in: IJCNN (2016)
Keyphrases
- bayesian learning
- spiking neural networks
- variational bayesian learning
- model selection
- spiking neurons
- biologically inspired
- learning rules
- posterior distribution
- neural network
- artificial neural networks
- motor control
- biologically plausible
- feed forward
- genetic algorithm
- cross validation
- gaussian process
- training algorithm
- bayesian inference
- probability distribution
- probabilistic model
- feature vectors
- reinforcement learning
- multiscale