Generator of synthetic dopaminergic signals

We present the electronic implementation of a waveform generator that produces the electrical signals of the membrane potential of the dopaminergic neurons of the substantia nigral pars compacta. The proposed generator uses the minimal model reported by Zakharov et al. (2016) and, to implement it in a 32-bit microcontroller, we use a fourth order Rungue-Kutta approach. We compare the waveforms generated by the proposed device against the waveforms reported by Zakharov et al. and we identify the parameters that allow modifying amplitude and frequency of the waveform in the model. The electronic implementation of this kind of devices can be relevant for the electrostimulation systems that generates congruent waveforms with biological signals of the human body.