Simulation of the neural response to the odour stimulus

The paper is aimed at the description of the newly introduced model used to simulate the neural response to the chemical stimulus. A potential difference across the living cell or tissue depends usually on the chemical excitation of this living entity. The peculiar case of chemical excitation is the odour recognition across animal kingdom, in particular by various insects. A potential difference is characterised by relatively rapid variation with time elapsed since the application of the stimulus. A complete mathematical model giving results similar to the real ones is outlined and discussed in light of the potential application to the various experimental patterns recognition. The saturation effects due to overlapping spikes are discussed in some detail. It is proposed to use semi-invariants as the semi-quantitative method to compare various data sets obtained either in response to various stimuli or to the same stimulus applied to various species.