An architecture for feature detection utilizing dynamic synapses

@article{Heittmann2004AnAF,
  title={An architecture for feature detection utilizing dynamic synapses},
  author={A. Heittmann and Ulrich Ramacher},
  journal={The 2004 47th Midwest Symposium on Circuits and Systems, 2004. MWSCAS '04.},
  year={2004},
  volume={2},
  pages={II-373}
}
An architecture for feature detection based on artificial pulsed neural networks is presented. By utilizing substancial principles like correlation of pulses using dynamic synapses as well as distribution of connections defined by connection densities, arbitrary detectors up to a complexity of simple cells can be implemented. 

References

Publications referenced by this paper.
Showing 1-4 of 4 references

Pulsed Neural Networks for Feature Detection Using Dynamic Synapses

  • U. Ramacher
  • EIS
  • 2004

“ An Evaluation of the Two - Dimensional Gabor Filter Model of Simple Receptive Fields in Cat Striate Cortex

  • L. A. Palmer.
  • 1987

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