FPGA implementation of a cortical network based on the Hodgkin-Huxley neuron model

Abstract

In this paper a biological neural network based on the Hodgkin-Huxley neuron model is implemented using Xilinx Field Programmable Gate Array (FPGA). By employing appropriate computational techniques, such as CORDIC, and step-by-step time integration of the respective equations, an exact response of the neuron is calculated. Neurons are simple units that exhibit high level behaviors during interaction in a network. The Parallel processing feature of FPGA makes this platform an ideal candidate to model these networks. We implemented a network with 16 neurons and the result of this implementation is validated using MATLAB simulation. © 2012 Springer-Verlag.