Continuous Online Sequence Learning with an Unsupervised Neural Network Model

@article{Cui2016ContinuousOS,
  title={Continuous Online Sequence Learning with an Unsupervised Neural Network Model},
  author={Yuwei Cui and Chetan Surpur and Subutai Ahmad and J. Hawkins},
  journal={Neural Computation},
  year={2016},
  volume={28},
  pages={2474-2504}
}
The ability to recognize and predict temporal sequences of sensory inputs is vital for survival in natural environments. Based on many known properties of cortical neurons, hierarchical temporal memory (HTM) sequence memory recently has been proposed as a theoretical framework for sequence learning in the cortex. In this letter, we analyze properties of HTM sequence memory and apply it to sequence learning and prediction problems with streaming data. We show the model is able to continuously… Expand
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