Rapid Feedforward Computation by Temporal Encoding and Learning With Spiking Neurons

@article{Yu2013RapidFC,
  title={Rapid Feedforward Computation by Temporal Encoding and Learning With Spiking Neurons},
  author={Qiang Yu and Huajin Tang and Kay Chen Tan and Haizhou Li},
  journal={IEEE Transactions on Neural Networks and Learning Systems},
  year={2013},
  volume={24},
  pages={1539-1552}
}
Primates perform remarkably well in cognitive tasks such as pattern recognition. Motivated by recent findings in biological systems, a unified and consistent feedforward system network with a proper encoding scheme and supervised temporal rules is built for solving the pattern recognition task. The temporal rules used for processing precise spiking patterns have recently emerged as ways of emulating the brain's computation from its anatomy and physiology. Most of these rules could be used for… CONTINUE READING
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