VLSI implementation of neuron with improved spike-control and energy efficiency

Biological information processing system, a neuron, is an astonishing piece of design with an energy efficiency unmatched to any human-engineered counterpart. This proposed design is an inspired effort to implement a neuron with adaptability. The designed neuron has improved spike-control and thus can be used in advanced neural networks. The proposed controllable-spike Integrate and fire neurons are highly energy efficient. Comparison of different ameliorated silicon neuron designs are described with experimental results. Electronic synthesis of neurons can be utilized for neuromorphic modeling of large-scale neural systems like brain-scanning and sensing technology. The proposed work has been designed using Cadence tool on 180 nm technology node with 1.8 V source.