An analysis of the gamma memory in dynamic neural networks

  title={An analysis of the gamma memory in dynamic neural networks},
  author={Jos{\'e} Carlos Pr{\'i}ncipe and Jyh-Ming Kuo and Samel Çelebi},
  journal={IEEE transactions on neural networks},
  volume={5 2},
Presents a vector space framework to study short-term memory filters in dynamic neural networks. The authors define parameters to quantify the function of feedforward and recursive linear memory filters. They show, using vector spaces, what is the optimization problem solved by the PEs of the first hidden layer of the single input focused network architecture. Due to the special properties of the gamma bases, recursion brings an extra parameter lambda (the time constant of the leaky integrator… CONTINUE READING


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