Studying the interaction of a hidden Markov model with a Bayesian spiking neural network

@article{Tavanaei2015StudyingTI,
  title={Studying the interaction of a hidden Markov model with a Bayesian spiking neural network},
  author={Amirhossein Tavanaei and Anthony S. Maida},
  journal={2015 IEEE 25th International Workshop on Machine Learning for Signal Processing (MLSP)},
  year={2015},
  pages={1-6}
}
This paper explores a novel hybrid approach for classifying sequential data such as isolated spoken words. The approach combines a hidden Markov model (HMM) with a spiking neural network (SNN). The HMM, consisting of states and transitions, forms a fixed backbone with nonadaptive transition probabilities. The SNN, however, implements a Bayesian computation… CONTINUE READING