Neuromorphic Computing and Spiking Neural Networks for Real Time Learning

  • Modelled the activity of spiking neurons like Izhikevich and Hodgkin-Huxley to determine the energy cost of a spike
  • Analysed the effects of time varying Poisson distribution-based stimuli on the AEF RS neurons with distinct synapses
  • Designed a neuronal circuit in Spiking Equilibrium using 45 nm CMOS technology for Low Power Real time Learning

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