Bayesian Clustering of Neural Spiking Activity Using a Mixture of Dynamic Poisson Factor Analyzers.
Ganchao WeiIan H. StevensonXiaojing WangPublished in: NeurIPS (2022)
Keyphrases
- bio inspired
- k means
- factor analyzers
- network architecture
- hebbian learning
- clustering algorithm
- bayesian networks
- neuron model
- clustering method
- spike trains
- spiking neural networks
- neural network
- learning rules
- cluster analysis
- dynamic environments
- single neuron
- mixture modeling
- computer vision
- data clustering
- human activities
- mixture model
- biologically inspired
- biologically plausible
- spectral clustering
- spiking neurons
- basal ganglia
- unsupervised learning
- maximum likelihood
- feature selection