Prototyping a Biologically Plausible Neuron Model on a Multi-FPGA System

A hardware-based computational-efficient biophysical model of a neural network that considers the inferior olivary nucleus is presented. The implementation uses a multi-FPGA system based on the PlasticNet interconnection framework, which enables the implementation of a cost-effective and scalable model able to handle over ten thousand neurons with five FPGA evaluation boards. With the same setup, it was possible to simulate one thousand neurons in real time.