Autonomous Learning in Neuromorphic Systems for Recognition of Spatio-Temporal Spike Patterns

@inproceedings{Ameen2014AutonomousLI,
  title={Autonomous Learning in Neuromorphic Systems for Recognition of Spatio-Temporal Spike Patterns},
  author={Sadique ul Ameen and S A Sheik},
  year={2014}
}
Spiking neuromorphic devices rely on the fact that spikes are an e cient mechanism for encoding and transmitting spatio-temporal properties of stimuli. Several neuromorphic sensors have been built recently that e ciently encode dynamic stimuli into spikes in real-time. But detecting stimuli based on the information embedded in such spikes in real-time is still an open problem. Typically, the problem of detection of stimuli based on spatio-temporal spike patterns is reduced to detection of… CONTINUE READING

References

Publications referenced by this paper.
Showing 1-10 of 210 references

Correlating stimulusspeci c adaptation of cortical neurons and local eld potentials in the awake rat

  • W. Von der Behrens, P. Bäuerle, M. Kössl, B. H. Gaese
  • Journal of Neuroscience
  • 2009
Highly Influential
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