Desarrollo y validación de un método para la visualización de resultados en la implementación del algoritmo de simulación de redes neuronales

Abstract

This report exposes the design and implementation of multi-FPGA based brain simulations platform. Also, it includes the main results and conclusions for this process. The model used to emulate the brain is the extended Hodgkin-Huxley model. It was implemented in hardware by FPGA devices. At rst instance, this implementation did not have a communication's method with any other device. To solve it, it was implemented a communication interface by comparing two di erents methods: the rst one, a socket- based implementation over a bare-metal application. The second one, a MPI's implementation over a Ubuntu distribution running in the ZYNQ. The application runs on a remote host, which works through a personal computer, which contains a web page that allows you to con gure a new simulation and displays the results through Python-generated graphics.