Simulation of the Freeman model of the olfactory cortex: a quantitative performance analysis for the DSP approach

It has been shown that a framework composed of digital signal processing (DSP) elements can be used to simulate and study Freeman´s model of the biologically realistic olfactory cortex. In this paper, based on impulsive invariant transformation, a DSP environment has been developed corresponding to the original continuous-time dynamical system. The performance of the DSP system is quantitatively evaluated by comparing with the original system, which is implemented using the traditional Runge-Kutta integration technique. The discrete-time architecture is shown to have high performance in approximating the dynamical behavior of the original system.