Learning Polychronous Neuronal Groups Using Joint Weight-Delay Spike-Timing-Dependent Plasticity

@article{Sun2016LearningPN,
  title={Learning Polychronous Neuronal Groups Using Joint Weight-Delay Spike-Timing-Dependent Plasticity},
  author={Haoqi Sun and Olga Sourina and Guang-Bin Huang},
  journal={Neural Computation},
  year={2016},
  volume={28},
  pages={2181-2212}
}
Polychronous neuronal group (PNG), a type of cell assembly, is one of the putative mechanisms for neural information representation. According to the reader-centric definition, some readout neurons can become selective to the information represented by polychronous neuronal groups under ongoing activity. Here, in computational models, we show that the frequently activated polychronous neuronal groups can be learned by readout neurons with joint weight-delay spike-timing-dependent plasticity… CONTINUE READING
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