Video Time Encoding Machines

@article{Lazar2011VideoTE,
  title={Video Time Encoding Machines},
  author={Aurel A. Lazar and Eftychios A. Pnevmatikakis},
  journal={IEEE Transactions on Neural Networks},
  year={2011},
  volume={22},
  pages={461-473}
}
We investigate architectures for time encoding and time decoding of visual stimuli such as natural and synthetic video streams (movies, animation). The architecture for time encoding is akin to models of the early visual system. It consists of a bank of filters in cascade with single-input multi-output neural circuits. Neuron firing is based on either a threshold-and-fire or an integrate-and-fire spiking mechanism with feedback. We show that analog information is represented by the neural… CONTINUE READING
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