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