Non-Parametric Bayesian Inference for Change Point Detection in Neural Spike Trains.
Bastian AltMichael MesserJochen RoeperGaby SchneiderHeinz KoepplPublished in: SSP (2018)
Keyphrases
- bayesian inference
- spike trains
- change point detection
- change point
- non stationary
- single neuron
- probabilistic model
- hyperparameters
- spiking neurons
- outlier detection
- sequential data
- high dimensional time series
- gaussian process
- normalized maximum likelihood
- prior information
- gaussian processes
- statistical inference
- particle filter
- functional connectivity
- neural network
- image processing