A Digital Liquid State Machine With Biologically Inspired Learning and Its Application to Speech Recognition

@article{Zhang2015ADL,
  title={A Digital Liquid State Machine With Biologically Inspired Learning and Its Application to Speech Recognition},
  author={Yong Zhang and Peng Li and Yingyezhe Jin and Yoonsuck Choe},
  journal={IEEE Transactions on Neural Networks and Learning Systems},
  year={2015},
  volume={26},
  pages={2635-2649}
}
This paper presents a bioinspired digital liquid-state machine (LSM) for low-power very-large-scale-integration (VLSI)-based machine learning applications. To the best of the authors' knowledge, this is the first work that employs a bioinspired spike-based learning algorithm for the LSM. With the proposed online learning, the LSM extracts information from input patterns on the fly without needing intermediate data storage as required in offline learning methods such as ridge regression. The… CONTINUE READING
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