부산대학교 도서관

The brain can be considered as the central processing unit (CPU) of the human body. The elementary units of the brain used for processing can be considered as the neurons fired in the brain. The aim is to reproduce the spiking and bursting of the specific type of neuron called the cortical neurons. The model used for reproducing the different types of behaviors of the neurons which is accurate and is functionally feasible and which correlates the most to the actual biological process is called the Izhikevich model which is a mathematical model. The focus of the work is to implement Simulated model on FPGA platform. The Look up table based approach is utilised to generate samples at the output of the 12-bit Digital to Analog Converter. The data samples are generated by implementing Izhikevich model in LabVIEW and Matlab on Console PC which are then transmitted to FPGA through communication interface. The data from the Console PC is stored in the Block Memory generator which is then applied to Digital to Analog Converter IP and waveform signal is generated by applying appropriate timing trigger signals. The gener-ated waveform signal are analyzed on the DSO at the sampling rate of 1 MHz using Artix-7 FPGA family and 12-bit AD5628 Digital to Analog Converter.