Event-driven spectrotemporal feature extraction and classification using a silicon cochlea model

HIGHLIGHTS

• who: Ying Xu from the Intel, United States National University of Singapore, Singapore have published the research: Event-driven spectrotemporal feature extraction and classification using a silicon cochlea model, in the Journal: (JOURNAL)
• what: The authors extend the work and propose to use FEAST to build a computational auditory cortical model - the Spectrotemporal Receptive Field (STRF) model. The authors implement the LIF neuron using: LIF =LIF + cLIF u00d7 (IHCLI[s,t] - LIF[s, t - 1]) The authors use the proposed CAR-FAC cochlear system on FPGA to generate spike streams from the TIDIGITS database. According . . .
  

   

  

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