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.