Autonomous learning in neuromorphic systems for recognition of spatio-temporal spike patterns

@inproceedings{Sheik2013AutonomousLI,
  title={Autonomous learning in neuromorphic systems for recognition of spatio-temporal spike patterns},
  author={Sadique ul Ameen Sheik},
  year={2013}
}
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

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