Scalable NOC architecture for BMI applications using field programmable gate array

Abstract

The communication that links the brain and the computer is provided with the help of a Brain-Machine interface. In our project, deep learning algorithm is developed in VLSI architecture. The benefits of the deep learning algorithm enable the network on chip design with accurate data detection and processing. This helps us to understand the machine learning process. So that signals from the brain can control the machines. The output from post-process is translated to specific commands which will control the devices. To make this better we are using FPGA based system control which will reduce the time taken for the process.