ASIC Implementation for Improved Character Recognition and Classification using SNN Model
نویسندگان
چکیده
This paper depicts how Spiking neural network model is used for character recognition and classification. Here we adapt to the technique of using ASIC for large scale simulations of the Izhikevich model and use RTL Clock gating approach for reducing the dynamic power. In the current work Izhikevich model is designed & their performance parameters is measured. This Izhikevich model is recognized and classifies different characters. Here we describe how a spiking neural network model can be implemented on ASIC with 90 nm Process. The Izhikevich spiking neuron model is best suited for large scale cortical simulations due to its accuracy, efficiency, power and simulation time.
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